(0.026)
Notes: ***, **, and * indicate significance at the levels of 1%, 5%, and 10%, respectively. The values in parentheses are standard errors robust to heteroskedasticity. ‘Yes’ means the corresponding variables are controlled in the regression, while ‘No’ means they are not controlled.
In addition, the benchmark estimates also show that the effect of the Internet on interpersonal interactions is very notable. Holding other factors constant, for each one-standard-deviation increase in Internet usage (17.921 h per week), the weekly communication with family members increases by an average of 102.150 min (17.921 × 0.095 × 60), while there is an average increase of 54.838 min in interactions with friends. This demonstrates that while Internet usage has significantly positive effects on communications with both family and friends, it plays a more prominent role in facilitating interactions among family members.
In order to examine the robustness of the relationship between Internet usage and interpersonal communications, and to tackle potential endogeneity problems, this paper conducts a series of robustness and endogeneity checks.
Considering the fact that the dependent variables, which represent the time spent on communicating with family and friends, are discrete non-negative integers and fit the Poisson distribution, we use the Poisson model to conduct the robustness test. Table 3 shows that when using the Poisson model for communications with both family and friends, the estimated coefficients of Internet usage are all significantly positive at the 1% level. In addition, with the controlling characteristics as different aspects, the estimated coefficients of Internet usage fluctuate slightly but are generally very stable. This further confirms that our findings regarding Internet usage promoting people’s interpersonal communications do not rely on the selection of the OLS model.
Robustness checks using the Poisson model.
Model | (1) Poisson | (2) Poisson | (3) Poisson | (4) Poisson | (5) Poisson | (6) Poisson |
---|---|---|---|---|---|---|
Variable | Family Communication | Family Communication | Family Communication | Friends Communication | Friends Communication | Friends Communication |
Internet usage | 0.004 *** (0.001) | 0.004 *** (0.001) | 0.004 *** (0.001) | 0.006 *** (0.001) | 0.005 *** (0.001) | 0.006 *** (0.001) |
Demographic Characteristics | Yes | Yes | Yes | Yes | Yes | Yes |
Working Characteristics | No | Yes | Yes | No | Yes | Yes |
Human Capital Characteristics | No | No | Yes | No | No | Yes |
Social Characteristics | No | No | Yes | No | No | Yes |
Family Characteristics | No | No | Yes | No | No | Yes |
Province dummies | No | No | Yes | No | No | Yes |
Constant | 2.226 *** (0.185) | 2.076 *** (0.205) | 1.753 *** (0.238) | 2.481 *** (0.194) | 2.194 *** (0.224) | 1.702 *** (0.262) |
Observations | 3740 | 3532 | 3527 | 3722 | 3514 | 3507 |
Notes: *** indicate significance at the levels of 1%, respectively. The values in parentheses are standard errors robust to heteroskedasticity. ‘Yes’ means the corresponding variables are controlled in the regression, while ‘No’ means they are not controlled.
In benchmark regression, we use the time spent on communications with family and friends to characterize interpersonal interaction. However, there may be measurement errors in some people’s perceptions of time. Furthermore, communication time may not adequately characterize the frequency of interpersonal communications. Based on this theory, to test the robustness of the findings, this paper further uses the frequencies of communication with family and friends as dependent variables, denoted as “Family communication frequency” and “Friends communication frequency”. These are derived from the respondents’ responses to “How often do you keep in touch with your family, on average?” and “How often do you keep in touch with your friends, on average?”. Answers are classified based on an eight-level scale from 1 to 8, representing “never”, “rarely”, “several times a year”, “once a month”, “2–3 times a month”, “once a week”, “several times a week”, and “every day”, respectively. Since they are ordered and explained variables for which the disparities between different levels of the scale are not equivalent, ordered Probit (Oprobit) and Logit (Ologit) models, as well as the OLS model, are used for estimation. The regression results are shown in Table 4 . It is clear that when using these kinds of dependent variables to measure interpersonal communications, and no matter which model is applied, Internet usage has a significantly positive effect on the frequency of people’s interactions with family and friends, which further confirms the robustness of the findings.
Robustness checks, using other indicators of interpersonal communications.
Model | (1) OLS | (2) Oprobit | (3) Ologit | (4) OLS | (5) Oprobit | (6) Ologit |
---|---|---|---|---|---|---|
Variable | Family Communication Frequency | Family Communication Frequency | Family Communication Frequency | Friends Communication Frequency | Friends Communication Frequency | Friends Communication Frequency |
Internet usage | 0.004 * (0.002) | 0.002 ** (0.001) | 0.004 * (0.002) | 0.014 *** (0.002) | 0.008 *** (0.001) | 0.013 *** (0.002) |
Controls | Yes | Yes | Yes | Yes | Yes | Yes |
Province dummies | Yes | Yes | Yes | Yes | Yes | Yes |
Constant | 3.659 *** (0.461) | 6.828 *** (0.380) | ||||
Observations | 3205 | 3205 | 3205 | 3217 | 3217 | 3217 |
There may be endogeneity problems in the benchmark estimates, therefore, the significant relationship between Internet usage and interpersonal communications may be a correlation rather than causality. The endogeneity problems may result from two aspects, comprising reverse causality and omitted variable bias. Regarding reverse causality, we suggest that people may use the Internet more frequently because they are more willing to communicate with family members and friends. For example, individuals who live alone, who frequently travel and migrate, may use the Internet because of the need to communicate remotely with their friends and family. With respect to omitted variable bias, although we have controlled as comprehensively as possible those elements that affect interpersonal communications, there may still be factors that are difficult to characterize. In order to examine the causal relationship between Internet usage and interpersonal interactions and to tackle potential endogeneity problems, the following instrumental variable models are applied for carrying out further checks.
A I i is the instrumental variable, which is the degree of artificial intelligence’s application in an individual, i ’s, work. Model (2) performs first-stage regression, using A I i to estimate I n t e r n e t _ u s a g e i . In model (3), second-stage regression is conducted to examine the effect of Internet usage on interpersonal communications, using the predicted values in the first-stage estimation. The A I i indicator comes from Mihaylov and Tijden [ 92 ]. Existing studies have shown that the higher the application of artificial intelligence in their work, the higher the requirements for people’s skills in using the Internet [ 93 ], and thus, the more likely they are to show increased Internet usage. Therefore, the instrumental variable satisfies the correlation requirement. In addition, since artificial intelligence is an exogenous technological change and is, thus, not related to micro individual characteristics, this variable satisfies the exogeneity condition. As shown in Table 5 , results of the instrumental variable method with the two-stage least square (2SLS) method robustly prove that Internet usage has significantly positive impacts on interactions with family members and friends. This means that the significant relationship between Internet usage and interpersonal communications is causal rather than being a simple correlation.
Endogeneity tests: impacts on communications using an instrumental variable.
Model | (1) First Stage | (2) 2SLS Second Stage | (3)First Stage | (4) 2SLS Second Stage |
---|---|---|---|---|
Variable | Internet Usage | Family Communication | Internet Usage | Friends Communication |
Internet usage | 0.606 ** (0.293) | 0.249 ** (0.117) | ||
Artificial Intelligence | 7.440 *** (1.729) | 7.704 *** (1.723) | ||
Controls | Yes | Yes | Yes | Yes |
Province dummies | Yes | Yes | Yes | Yes |
Constant | 58.925 *** (6.060) | −44.955 ** (19.463) | 56.252 *** (5.730) | −5.896 (7.888) |
Observations | 1889 | 1889 | 1880 | 1880 |
Notes: *** and ** indicate significance at the levels of 1% and 5%, respectively. The values in parentheses are standard errors robust to heteroskedasticity. ‘Yes’ means the corresponding variables are controlled in the regression, while ‘No’ means they are not controlled.
There are missing data in this research, with a missing rate of (3740−3507)/3740 = 6.223%. Although it seems that the missing rate is not high, missing data may cause sample selection problems, leading to biased and inconsistent statistical results, because the information may be missing but not at random. Considering that the dataset is cross-sectional rather than longitudinal and when referring to Ibrahim and Molenberghs [ 94 ], Kropko et al. [ 95 ], and Baraldi and Enders [ 96 ], we further tested whether the findings of this paper could be affected by the missing data problem, applying the following widely accepted approach. Specifically, we replace the missing values with the mean of the remaining values. Results using this approach are shown in Table 6 and it is clear that they are consistent with the benchmark estimations in this paper.
Replacing the missing values with the mean of the remaining values (OLS model).
Model | (1) OLS | (2) OLS | (3) OLS | (4) OLS | (5) OLS | (6) OLS |
---|---|---|---|---|---|---|
Variable | Family Communication | Family Communication | Family Communication | Friends Communication | Friends Communication | Friends Communication |
Internet usage | 0.094 *** (0.026) | 0.098 *** (0.027) | 0.111 *** (0.027) | 0.050 *** (0.012) | 0.051 *** (0.012) | 0.058 *** (0.012) |
Demographic Characteristics | Yes | Yes | Yes | Yes | Yes | Yes |
Working Characteristics | No | Yes | Yes | No | Yes | Yes |
Human Capital Characteristics | No | No | Yes | No | No | Yes |
Social Characteristics | No | No | Yes | No | No | Yes |
Family Characteristics | No | No | Yes | No | No | Yes |
Province dummies | No | No | Yes | No | No | Yes |
Constant | 3.642 (3.713) | 1.317 (3.952) | −6.838 (4.692) | 11.160 *** (1.646) | 9.288 *** (1.712) | 5.222 *** (1.967) |
Observations | 3740 | 3740 | 3740 | 3740 | 3740 | 3740 |
Adjusted R | 0.009 | 0.011 | 0.051 | 0.012 | 0.014 | 0.036 |
6.1. effects of internet usage on loneliness.
It has been confirmed in the sections above that Internet usage facilitates communications with family and friends. Furthermore, studies have shown that interpersonal communications are beneficial to increasing social support and reducing people’s loneliness [ 97 , 98 , 99 ]. Therefore, we are interested in whether Internet usage helps to reduce loneliness by increasing people’s interpersonal contacts. To test this hypothesis, we use an indicator to characterize loneliness, denoted as “Lonely”. It is taken from respondents’ answers to the question “I feel lonely”, which is based on the Likert scale from 1–5, representing “never”, “seldom”, “sometimes”, “often”, and “frequently”. The larger the values of the two variables, the higher the level of loneliness.
The first columns in Table 7 demonstrate the effect of Internet usage on loneliness, wherein the estimated coefficients of Internet usage are all significantly negative. This indicates that Internet usage significantly reduces loneliness. Meanwhile, columns (2) and (4) in Table 7 are the regression results of the impacts of Internet usage on communication with family members and friends, which are consistent with those in Table 3 . Columns (3) and (5) present the results for when the indicators of family communication and friends communication are further included in regressions. The estimated results in column (3) of Table 7 show that communication with friends does not significantly affect people’s loneliness. However, in column (5), the estimates of family communication are significantly negative at the 1% level, implying that interactions with family help to decrease loneliness. At the same time, after the mediating variables, interpersonal communications are included in the regression, where the estimated coefficients of Internet usage remain significantly negative. Additionally, in column (5) of Table 7 , the absolute values of the Internet usage estimates decrease, further proving that communication with family members plays a mediating role between using the Internet and loneliness. This implies that Internet usage reduces the feeling of loneliness by facilitating communication among family members. Family members are particularly important for Chinese people and the Chinese culture; therefore, relationships among family members have a more prominent impact on personal feelings [ 100 ]. Thus, compared with communication with friends, contacts with family members mediate the impact of the Internet in reducing loneliness more significantly.
Further impacts on loneliness.
Model | (1) Oprobit | (2) Poisson | (3) Oprobit | (4) Poisson | (5) Oprobit |
---|---|---|---|---|---|
Variable | Lonely_1 | Friends Communication | Lonely_1 | Family Communication | Lonely_1 |
Internet usage | −0.003 ** (0.001) | 0.006 *** (0.001) | −0.003 ** (0.001) | 0.004 *** (0.001) | −0.002 * (0.001) |
Friends communication | 0.000 (0.002) | ||||
Family communication | −0.005 *** (0.001) | ||||
Controls | Yes | Yes | Yes | Yes | Yes |
Province dummies | Yes | Yes | Yes | Yes | Yes |
Constant | 1.702 *** (0.262) | 1.753 *** (0.238) | |||
Observations | 3615 | 3507 | 3499 | 3527 | 3518 |
The above analysis shows the positive impact of the Internet on interpersonal communications, but it is not correct to assume that this usage has only a positive dimension. Further analysis using CGSS data, as shown in column (1) of Table 8 , demonstrates that the more time people spend online, the easier it is to get addicted to the Internet, resulting in spending a longer time online than was planned. In addition, people who frequently use the Internet are more likely to feel anxious if they do not go online for a while (column (2) in Table 8 ). This is consistent with the existing studies, reporting that people tend to have difficulty controlling their time, and it is easier for them to become addicted to the Internet and the online world [ 45 , 46 , 47 , 48 ]. Furthermore, we find that going online reduces the amount of time people spend outdoors (column (3) in Table 8 ) and leads to more family complaints that they spend too much time online (column (4) in Table 8 ). Although we cannot directly verify the effect of Internet usage on face-to-face interpersonal communication, due to data availability, this is an indirect way to test whether Internet use reduces people’s face-to-face contact with the outside world and results in increased complaints from family members. Moreover, in terms of physical health, it was also found that more Internet usage also causes people to have worse eyesight (column (5) in Table 8 ), as well as neck and shoulder pain (column (6) in Table 8 ). The above analysis is based on six Likert 5-point scale variables from the responses to the question, “How do the following descriptions fit your situation?”: “I often spend more time online than I planned”, “If I don’t go online for a while, I will be anxious and restless”, “I spend less time outdoors because of using the Internet”, “My family complains that I spend too much time online”, “My eyesight has become worse because of using the Internet”, “I have neck and shoulder pain because of using the Internet”. Their responses are: “1—very untrue of me”, “2—untrue of me”, “3—neutral”, “4—true of me”, and “5—very true of me”.
Other effects of internet usage (overlong usage and anxiety).
Model | (1) OLS | (2) OLS | (3) OLS | (4) OLS | (5) OLS | (6) OLS |
---|---|---|---|---|---|---|
Variable | Overtime Online | Anxiety When Offline | Less Outdoor Activities | Family Complaints | Vision Impairment | Neck and Shoulder Pain |
Internet usage | 0.010 *** (0.001) | 0.008 *** (0.001) | 0.007 *** (0.001) | 0.006 *** (0.001) | 0.008 *** (0.002) | 0.008 *** (0.002) |
Controls | Yes | Yes | Yes | Yes | Yes | Yes |
Province dummies | Yes | Yes | Yes | Yes | Yes | Yes |
Constant | 3.502 *** (0.267) | 2.940 *** (0.275) | 3.164 *** (0.287) | 3.847 *** (0.280) | 3.373 *** (0.305) | 2.942 *** (0.310) |
Observations | 2198 | 2206 | 2206 | 2204 | 2200 | 2203 |
Ajusted/Pseudo R | 0.105 | 0.080 | 0.101 | 0.103 | 0.055 | 0.038 |
This paper further examines the heterogeneities of the impact of Internet usage on communications in different subgroups. First, in terms of the purposes of Internet usage, it is naturally hypothesized that if people use the Internet mainly for working or entertainment, rather than for interpersonal contact, then Internet usage should have no significant effect on their communications with family members and friends. This hypothesis is tested as follows. Specifically, this research divides the sample into subgroups, with different degrees of online social interactions and different preferences for online self-presentation, based on whether respondents frequently use social networking sites (including email, QQ, WeChat, Skype, etc.) to communicate with others, and whether they often post their updates on the social platforms (including WeChat, Moments, Qzone, Weibo, etc.). The regression results of Table 9 show that the impacts of Internet usage on communication with family and friends are only significant among those who often use the Internet to socialize, confirming the above hypothesis. In addition, posting updates regarding life and work via Internet social platforms also brings more online contacts. Table 10 shows that for individuals with a greater online presence, the positive effect of Internet usage on interpersonal communications is more pronounced. This means that for people who are more socially connected to the Internet, online activities significantly promote their interpersonal contacts. The heterogeneity results in this aspect also demonstrate that online social contact facilitates communications with family and friends and further confirm the robustness of the findings of this paper.
Heterogeneity analysis, in terms of online contacts.
Model | (1) OLS | (2) OLS | (3) OLS | (4) OLS |
---|---|---|---|---|
Sample | Less Online Social Contact | More Online Social Contact | Less Online Social Contact | More Online Social Contact |
Variable | Family Communication | Family Communication | Friends Communication | Friends Communication |
Internet usage | 0.055 (0.081) | 0.105 *** (0.031) | 0.033 (0.025) | 0.053 *** (0.013) |
Controls | Yes | Yes | Yes | Yes |
Constant | 10.825 (12.224) | −6.455 (5.955) | −0.647 (4.453) | 10.655 *** (2.724) |
Observations | 1701 | 1826 | 1685 | 1822 |
Heterogeneity analysis in terms of online posts.
Model | (1) OLS | (2) OLS | (3) OLS | (4) OLS |
---|---|---|---|---|
Sample | Fewer Online Posts | More Online Posts | Fewer Online Posts | More Online Posts |
Variable | Family Communication | Family Communication | Friends Communication | Friends Communication |
Internet usage | 0.050 (0.047) | 0.129 *** (0.037) | 0.036 ** (0.019) | 0.051 *** (0.015) |
Controls | Yes | Yes | Yes | Yes |
Constant | 0.503 (7.625) | −12.146 * (7.119) | 4.028 (2.927) | 7.587 ** (3.146) |
Observations | 2284 | 1242 | 2260 | 1246 |
Furthermore, considering that communications via the Internet require certain online skills, it is naturally hypothesized that for individuals with better Internet skills, Internet usage should be more conducive to improving their interpersonal communication. This paper conducts a heterogeneity test for this hypothesis. According to whether the respondents are able to communicate with others proficiently online (the corresponding question in the CGSS questionnaire is: “Do you know how to express your thoughts and proficiently communicate with others online?”), the following subsample analysis is performed. The estimated results in columns (1) and (2) of Table 11 show that in terms of communications with family members, the positive effects of Internet usage are greater and are only statistically significant for those with more online skills. Columns (3) and (4) of Table 11 demonstrate that in terms of communications with friends, the role of Internet usage is significant for the two subgroups, but the estimated coefficient is larger for individuals skilled in online communications. This confirms that the impact of Internet usage on interpersonal contacts is more pronounced for people with better online skills.
Heterogeneity analysis, in terms of Internet skills.
Model | (1) OLS | (2) OLS | (3) OLS | (4) OLS |
---|---|---|---|---|
Sample | Less Skilled in Internet | More Skilled in Internet | Less Skilled in Internet | More Skilled in Internet |
Variable | Family Communication | Family Communication | Friends Communication | Friends Communication |
Internet usage | 0.025 (0.061) | 0.118 *** (0.033) | 0.041 * (0.024) | 0.049 *** (0.014) |
Controls | Yes | Yes | Yes | Yes |
Constant | 24.445 (16.486) | −10.005 (6.167) | −6.478 (4.713) | 10.110 *** (2.915) |
Observations | 1836 | 1675 | 1821 | 1670 |
Notes: *** and * indicate significance at the levels of 1% and 10%, respectively. The values in parentheses are standard errors robust to heteroskedasticity. ‘Yes’ means the corresponding variables are controlled in the regression, while ‘No’ means they are not controlled.
Moreover, it has been shown in the existing literature that there are disparities in Internet usage and interpersonal communication among individuals of different ages and educational backgrounds [ 34 , 47 , 61 ]. Therefore, we further examine the heterogeneities of the impacts of Internet usage in the different subgroups, with different demographic characteristics. Table 12 shows that the impacts of Internet usage on communications with family and friends are significantly positive for both younger and older respondents. However, their effect is greater on the younger group under the age of 35, which may be due to the fact that young people are more inclined to use new online applications and are more skilled in Internet use. Therefore, the positive effect of Internet usage is more prominent in the younger cohort. The mean time of Internet usage for young individuals under 35 in CGSS is 23.59, which is much greater than that of their older counterparts, which is 7.56.
Heterogeneity analysis, in terms of age.
Model | (1) OLS | (2) OLS | (3) OLS | (4) OLS |
---|---|---|---|---|
Sample | Younger than 35 | Older than 35 | Younger than 35 | Older than 35 |
Variable | Family Communication | Family Communication | Friends Communication | Friends Communication |
Internet usage | 0.133 *** (0.045) | 0.058 * (0.035) | 0.059 *** (0.020) | 0.039 *** (0.013) |
Controls | Yes | Yes | Yes | Yes |
Constant | 2.054 (4.982) | 12.371 *** (3.118) | 6.489 *** (1.970) | 1.786 * (1.079) |
Observations | 842 | 2685 | 845 | 2662 |
The results of the heterogeneity analysis in terms of education level are shown in Table 13 . It is demonstrated that regardless of whether the respondents have a bachelor’s degree or above, the positive effect of Internet usage on interpersonal communications is significant. However, the Internet’s impact is more pronounced for those with higher educational levels. This may be due to the fact that the more educated groups have greater opportunities to learn and master the skills of using the Internet. In the CGSS sample, the average time of Internet usage among people with higher educational levels is much higher than the lower educated respondents (25.03 > 9.70).
Heterogeneity analysis, in terms of education level.
Model | (1) OLS | (2) OLS | (3) OLS | (4) OLS |
---|---|---|---|---|
Sample | Lower Education | Higher Education | Lower Education | Higher Education |
Variable | Family Communication | Family Communication | Friends Communication | Friends Communication |
Internet usage | 0.077 ** (0.031) | 0.147 ** (0.060) | 0.044 *** (0.012) | 0.089 *** (0.034) |
Controls | Yes | Yes | Yes | Yes |
Constant | −4.015 (5.388) | −9.295 (14.546) | 3.895 * (2.298) | 12.099 ** (5.454) |
Observations | 3141 | 386 | 3123 | 384 |
In addition, in terms of regional heterogeneity, it is clear from Table 14 that the impact of Internet usage on communications with family and friends is more prominent for urban residents. Compared with their rural counterparts, urban residents are more familiar with the Internet in their work and daily life, due to faster technological development and better network infrastructure. Therefore, the descriptive statistics for the two subsamples show that the mean hours of Internet usage for residents in rural and urban areas are 16.29 and 8.64, respectively.
Heterogeneity analysis in terms of region.
Model | (1) OLS | (2) OLS | (3) OLS | (4) OLS |
---|---|---|---|---|
Sample | Rural Residents | Urban Residents | Rural Residents | Urban Residents |
Variable | Family Communication | Family Communication | Friends Communication | Friends Communication |
Internet usage | 0.086 ** (0.041) | 0.096 ** (0.038) | 0.041 *** (0.014) | 0.058 *** (0.018) |
Controls | Yes | Yes | Yes | Yes |
Constant | 1.852 (6.737) | −12.355 (7.981) | 4.046 * (2.349) | 9.693 ** (3.826) |
Observations | 2235 | 1280 | 2226 | 1269 |
In addition, the Internet can help people to break geographical restrictions and realize remote communication, consequently shortening the distances between each other [ 19 ]. Therefore, it is natural to hypothesize that the role of Internet usage in facilitating communication may be more prominent for migrants. The regression results of Table 15 show that Internet usage has significant effects on promoting interpersonal communications, for both migrants and non-migrants. In particular, columns (1) and (2) show that in terms of family communication, the impact of Internet usage on migrants is more prominent than on non-migrants. However, columns (3) and (4) do not show a similar pattern in terms of communicating with friends. This is logical, since blood relationships among family members do not change due to migration, while friends can be found wherever you live. Migration leads to people moving further away from their families, geographically; consequently, the role of Internet usage in enhancing communications with family members is more prominent for migrants.
Heterogeneity analysis in terms of migration.
Model | (1) OLS | (2) OLS | (3) OLS | (4) OLS |
---|---|---|---|---|
Sample | Non-Migrants | Migrants | Non-Migrants | Migrants |
Variable | Family Communication | Family Communication | Friends Communication | Friends Communication |
Internet usage | 0.077 ** (0.035) | 0.112 ** (0.045) | 0.055 *** (0.016) | 0.037 ** (0.017) |
Controls | Yes | Yes | Yes | Yes |
Constant | −5.386 (6.598) | −10.688 (7.774) | 1.386 (2.558) | 10.472 *** (3.601) |
Observations | 2422 | 1094 | 2406 | 1089 |
This paper empirically examines the impact of Internet usage on interpersonal communications with data from the Chinese General Social Survey to answer whether the Internet brings people closer together or further apart. The empirical results demonstrate that first, Internet usage helps to significantly increase the time and frequency of communications with family and friends, rather than causing people to feel more disconnected and isolated. This positive effect is robust when using various regression models and interpersonal contact measures, as well as the instrumental variable method. Specifically, the positive effects of Internet usage in promoting people’s interpersonal communications do not rely on the selection of regression models and are robustly significant regarding both the time that people spend on interactions, as well as the frequency of daily contacts. Furthermore, the relationship between Internet usage and interpersonal communications is proven to be causal rather than being a simple correlation, using the instrumental variable approach.
Second, Internet usage contributes to decreased loneliness, and it exerts this effect primarily by improving people’s interactions with their family members. However, communications with friends do not significantly mediate such impacts. This implies that the Internet reduces the feeling of loneliness by facilitating communication among family members, who are much more important in the Chinese culture, and therefore relationships among family members have a more important impact on personal feelings.
Third, the positive role of Internet usage on communications is more prominent for people with more frequent online socialization and self-presentation, higher online skills, younger age, higher educational levels and living in urban areas. In addition, the beneficial effects of Internet usage are larger on communications with family members for migrants. The reason may be that the blood relationships among family members do not change due to migration, while friends can be found anywhere.
9.1. theoretical implications.
This paper clarifies the net effect of Internet usage on interpersonal communications. Research has shown that Internet technology has tremendously enriched communication channels and modes [ 14 , 15 , 16 , 17 , 87 , 89 ]. Moreover, compared with traditional communication methods, such as phone calls and text messages, the Internet helps people to establish a much wider social network and achieve effective remote communication at a lower cost, as well as with greater efficiency [ 69 , 70 , 90 , 101 ]. Nevertheless, other studies reveal that Internet usage may distract people’s attention [ 10 , 11 , 65 , 66 , 83 ], reduce their social skills [ 47 , 67 , 68 , 84 , 85 ], and may even increase negative emotions [ 10 , 11 , 53 , 73 , 86 ]. The impact of Internet usage in this aspect would hinder interpersonal communications. No direct evidence is provided on how the Internet influences interpersonal communications. Therefore, according to theoretical analyses based on the existing literature, the net effect of Internet usage on interpersonal contacts is still unclear because of the coexistence of the complementarity and interference aspects. This research contributes to the literature by clarifying that the net effect of Internet usage on interpersonal communications is positive. The more that people use the Internet, the more they can interact with their family and friends. This positive effect is confirmed via various endogeneity and robustness checks. This paper shows that although the Internet may have both pros and cons, its overall impact is positive regarding interpersonal communication.
In addition, this paper further verifies the role of the Internet in reducing people’s loneliness, which is an important factor affecting well-being. Loneliness not only leads to depression but also reduces people’s life satisfaction and overall well-being [ 102 , 103 ]. Interpersonal interaction is an important element impacting loneliness [ 104 ]. Since Internet usage promotes communication, a natural question arises regarding whether it helps to decrease loneliness through this mechanism. If this speculation holds true, the robustness of the conclusions in this paper would be confirmed further. The existing research demonstrates that the Internet has enriched interpersonal communication channels [ 105 ]. Moreover, other studies reveal that interactions can help reduce loneliness, improve people’s well-being, and decrease depression [ 89 , 91 , 106 ]. In this paper, we present our findings that Internet usage lowers loneliness by promoting people’s communications with family and friends. Therefore, this study also contributes to the literature by elucidating the mechanisms underlying the well-being and emotional benefits of Internet use [ 107 ].
Furthermore, compared with previous studies supporting the positive effects of Internet usage [ 14 , 15 , 16 , 17 , 87 , 89 ], we also find heterogeneities in its impact from multiple perspectives. It is clear that not everyone gains equally from Internet use. The positive role of the Internet on interpersonal communication is more prominent for people with more frequent online socialization and wider self-presentation, better online skills, a younger age, higher educational levels, and who are living in urban areas. Some subgroups benefit more from Internet usage, while those who have been left behind in the digital age gain less. Heterogeneity analysis enriches the literature on the impact of the Internet, helping us to better identify vulnerable groups in the Internet era and create effective public policies accordingly.
With the rapid progress of online technology, traditional face-to-face communication is gradually shifting toward social networking via the Internet as people are becoming immersed in the digital age. The Internet not only drives economic development but also helps people to interact with each other at a lower cost and in a more convenient way. The policy implications of this paper include the following recommendations.
First, the network infrastructure should be improved and updated to make better use of the Internet, to facilitate interpersonal communication among people. In the fast-changing world of information, the Internet has provided people with more and more convenient communication channels. We should continue to make better use of more advanced Internet technologies and improve the quality of the network, in order to enhance people’s online experience. Emerging technologies, such as 5G, should be applied to help people obtain more convenient and cheaper access to the Internet to improve their interpersonal communication and enhance social welfare.
Second, this paper reports that the Internet promotes interpersonal contact, thereby weakening people’s sense of loneliness. Therefore, establishing high-quality online communities via social networks is needed to help people enhance their well-being through further interactions. For those who suffer from loneliness, providing them with better access to the Internet may be an effective way to enhance their welfare. From the perspective of mental health, loneliness is related to an increased risk of mental disorders, such as depression, anxiety, and even dementia. Therefore, it is worth recommending that sufferers use the Internet to enhance their communications with others. For people with communication difficulties, online interactions can help them overcome their fear and help them to get in touch with others, thus establishing better social networks [ 90 ].
Third, policymakers should pay more attention to vulnerable subgroups in the Internet age, including older people and those with poorer online skills, those who are less well-educated, and those living in rural areas. These groups gain fewer benefits from Internet usage. Therefore, it is important to help them master the necessary online skills and provide them with more convenient and less expensive access to the Internet. For example, the network coverage should be extended to more remote and rural areas and the Internet connectivity there needs to be improved so that as many people as possible have equal access to the Internet. In addition, with the rapid development of Internet technology, individuals with lower education levels and older age may not be able to update their Internet skills. This may mean that they are unable to gain the benefits of Internet usage in terms of interpersonal communication. Therefore, in the context of the rapid application of emerging online technologies, enhancing the Internet skills of these vulnerable subgroups should be emphasized.
First, since CGSS data is based on subjective answers, both the explanatory and explained variables in this paper are subjective indicators and there may, thus, be measurement errors caused by subjectivity. Although different variables are used as dependent variables in the robustness checks, confirming the positive effect of Internet usage on interpersonal interactions, these measures are also subjective. Therefore, we look forward to further testing the relationship between Internet usage and interpersonal contacts based on objective indicators in the future.
Second, as CGSS does not provide detailed information concerning the amount of time that people spend on the Internet for various purposes, we are unable to examine the effects of different types of online activities on interpersonal communications. In this regard, if people use the Internet mainly for working or for entertainment, rather than for interpersonal contacts, then online activities may well have a different effect on their communications with family members and friends. In the heterogeneity analysis, this research divided the sample into subgroups with different degrees of online social interactions and different preferences for online self-presentation. The results show that the impacts of Internet usage on communication with family and friends are only significant among those who habitually use the Internet to socialize and post updates. This indirectly examines the impact of different types of Internet usage on communications. We look forward to further investigating this issue in the future, on the basis of more detailed online data.
Third, this paper examines the impact of Internet usage on interpersonal communications in general. However, it is still not clear how Internet usage affects people’s face-to-face interactions. Due to data limitations, we are unable to directly test the quality of offline personal relationships, for example, changes in conversational topics, the willingness to broach topics discussed on the Internet, and the inclination to reveal true thoughts in a face-to-face relationship. The effects of Internet use on the quality of offline communications will be a very valuable research direction in the future.
This research was funded by the Humanities and Social Science Research Project of the Ministry of Education of China (grant number 19YJC790055); the Project of the Natural Science Foundation of China (grant number 71973081); the Project of the Natural Science Foundation of Shandong Province, China (grant number ZR2020QG038); the Project of the Social Science Foundation of Shandong Province, China (grant number 19DJJJ08), and the Project of Teaching Reform of Shandong University (grant number Y2022007).
C.L. contributed to the conception and design of the study and performed the statistical analysis. Y.X. generated the tables and figures, respectively, based on C.L.’s analysis. C.L. wrote the first draft of the manuscript. G.N., K.G. and Q.L. worked on revisions of the manuscript. All authors have read and agreed to the published version of the manuscript.
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Data availability statement, conflicts of interest.
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
A large study with data from over two million people looked for links between online activity and variables such as personal satisfaction, social relationships and daily motivation. some experts remain skeptical about the findings.
Daily use of the internet generates the same feeling of well-being as taking a walk in the park. So say Andrew Przybylski, a professor at the University of Oxford, and Matti Vuorre, from the University of Tilburg, after discovering that people with internet access were 8% more satisfied with their lives than those who did not have access to the internet. “The differences in happiness between people who go for a walk and those who don’t are of a magnitude similar to what we see at this very high level between people who go online and people who don’t,” says Vuorre. However, women between 15 and 24 years old who used the internet were less happy, according to a recent macro study published in the journal Nature.
It is the first sample to address internet access and well-being on a large scale: it analyzed internet access data for 2,414,294 people from 168 countries. “There are studies on that, but most have been small-scale in developed Western countries, usually English-speaking. This is a fairly new look,” says Matti Vuorre. Researchers took data from the Gallup GWP World Poll carried out by the analysis company Gallup, between 2006 and 2021. Respondents were asked if they had internet access at home, if they had internet access on their mobile phone and if they had used the internet in the last seven days, from a mobile phone, computer or other device.
For the study, the authors took into account eight indicators to assess “ well-being ”: life satisfaction, the degree of negative and positive experiences, social relationships, physical well-being, comfort in the place of residence and employee motivation. “We first queried the extent to which well-being varied as a function of internet connectivity. Then, we examined these associations’ robustness in a multiverse of 33,792 analysis specifications,” wrote the authors. “Of these, 84.9% resulted in positive and statistically significant associations between internet connectivity and well-being. These results indicate that internet access and use predict well-being positively and independently from a set of plausible alternatives.” The “multiverse” system repeatedly fitted a similar model to potentially different subgroups of the data using potentially different predictors, outcomes, and covariates in order to rule out that the associations between internet use and well-being were being caused by something else.
The authors note that even though 84.9% of the associations were significantly positive, and only 0.4% were negative, “we did, however, observe a notable group of negative associations between internet use and community well-being. These negative associations were specific to young (15–24-year-old) women’s reports of community well-being.”
“Although not an identified causal relation, this finding is concordant with previous reports of increased cyberbullying and more negative associations between social media use and depressive symptoms,” adds the study, which calls for further analysis. For Andrea Vizcaíno Cuenca, a psychologist and CEO of the Spanish medical center Policlínica Maio who was not involved in the study, the problem lies in social media : “They encourage social comparison, especially among young women. Viewing carefully selected and edited images of others can lead to feelings of inadequacy and low self-esteem. Constant exposure to unrealistic beauty standards for women contributes to lower emotional well-being and a negative perception of the environment.”
To measure community well-being, respondents were asked if the city in which they lived was a perfect place or if in the last 12 months they had done something to improve the area in which they lived. Girls who used the internet confessed to being less happy with the place where they lived, according to the study. Przybylski says it could be because people who don’t feel welcome in their community spend more time online.
Cyberbullying is a serious problem that “disproportionately” affects young women, says Vizcaíno: in Spain, 3% of 15-year-old girls claim to have suffered bullying at school at least two or three times a month, according to a report from the World Health Organization (WHO). Its effects can be “devastating” for mental health, such as increased levels of anxiety, depression and low self-esteem. “They can directly contribute to a negative perception of community well-being, as experiences of bullying can cause victims to feel isolated and disconnected from their community,” adds Vizcaíno. One in six adolescents suffers from cyberbullying, representing an increase from 13% to 16% among girls and 12% to 15% among boys since 2023, according to the WHO. The study calls for future research to look at whether low community well-being drives engagement with the internet or vice versa.
Although the debate between technology and well-being continues, it now seems unthinkable to live without the internet . Not everything is harmful in cyberspace and that is what the study tries to explain. Rebeca Cordero, a professor of applied sociology at the European University of Madrid, reflects on this: “We have to escape from that negative vision that the internet is something bad or harmful . A well-used tool can generate well-being.” Digital disconnection can even decrease life satisfaction, as explained in another study in November of last year. Social media offers powerful social rewards, and restricting it can reduce positive emotions.
Despite this, experts such as the health psychologist José Antonio Tamayo do not agree with the findings of the study. Tamayo underscores that the GWP Global Survey is not a psychometrically validated instrument, and that the questions are based on a definition of “well-being” unique to GWP. Additionally, respondents’ responses present risks of recall bias, social desirability or conformity, he explains. “When we talk about well-being it is a personal perception, what we do is study perceptions. I may have the feeling that what I am exposed to generates my well-being, but in reality it does not.” Tamayo also does not rule out that other factors intervene between internet use and well-being, such as income level. The study does take economic differences into account, even though “data and model selection were limited.”
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Malware smuggled into xz utils software highlights a bigger problem.
A DECADE AGO someone realised that the locks keeping swathes of the internet secure were not working. Open SSL , a tool used to encrypt anything from social-media passwords to e-commerce purchases, had a fatal flaw that made the information it was supposed to protect visible to potential hackers. The discovery was unsurprising to anyone who knew about the team behind Open SSL . The software, used by almost 20% of websites—including tech companies making billions of dollars in annual profits—was largely run by two men named Steve, who worked on it in their spare time. Comments on the code contained admissions of potential weaknesses, such as “EEK! Experimental code starts.”
After the flaw, which came to be known as “ Heartbleed ”, was discovered, tech companies pledged millions of dollars to expand Open SSL ’s team. The hobbyists would become paid staff, better able to secure the web. But last month another hole in the internet’s infrastructure was discovered: a volunteer who for two years had helped run XZ Utils, a piece of software used to compress and decompress data on Linux, an operating system used in key parts of the internet’s infrastructure, had smuggled malware into the code , allowing hackers to send nefarious commands that would otherwise have been prevented. Once again a volunteer-run project had been breached—this time, deliberately. In 2021 Log4j, a tool that records computer errors, faced a similar vulnerability. Given the frequency with which these breaches occur, why is so much critical software maintained by hobbyists?
In part it is a quirk of history, says Mar Hicks, a historian of technology at the University of Virginia. The internet has been decentralised since its founding: businesses share control with academics and hobbyists. That has always involved an uneasy truce between state and corporate interests, who bankrolled the projects that got the internet started, and volunteer enthusiasts who maintain much of the technology, adds Ciaran Martin, former chief executive of Britain’s National Cyber Security Centre, the defensive arm of GCHQ , the country’s signals-intelligence agency. Tinkerers and hobbyists form a large part of the open-source movement, a community of internet-users who develop free-to-use software and make the underlying code publicly available. Such software is commonly deployed across large parts of internet infrastructure because of its low cost.
Although one person can maintain a small-scale software project, the pressure increases when the technology becomes widely adopted. Life—including paid work—can get in the way. And hobbyists can simply get bored. Or worse: Lasse Collin, the developer who led the maintenance of XZ Utils, warned two years before the recent breach that its upkeep was harming his mental health.
This results in a danger to all internet users. Synopsys, a cyber-security firm, analysed software across 17 industries, and found that three-quarters of the code it reviewed had weak spots that had either been shown to make it vulnerable, or had previously been exploited by hackers. That is worrying, but hard to rectify. The infrastructure that underpins our digital world is too deeply embedded to tear up and rebuild to be fit for purpose, says Mr Martin. There is no commercial incentive for any one company to do so, he reckons. Omkhar Arasaratnam, of the Open Source Security Foundation (Open SSF ), a successor to the project set up with big-tech funding after Heartbleed, says the tech industry wants to build ever more skyscrapers, but leaves the plumbing and sewerage to volunteers.
If the tech companies won’t build better infrastructure themselves, there is still a way to improve internet security: to pay organisations, like Open SSF , enough to employ others to do it. But for that to work, tech companies would need to band together—compelled by governments, if necessary—to provide consistent funding, rather than splurging when something goes wrong and forgetting about the problem when attention subsides. ■
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Unveiling the vulnerabilities in iot and industrial iot security.
Julian Durand is Senior Vice President of Product Management and Chief Information Security Officer at Intertrust Technologies .
Not long ago, futurists speculated about how the Internet of Things (IoT) and the Industrial Internet of Things (IIoT) would impact our lives. Now, we rely on these technologies for everything from home automation to critical infrastructure. However, when a complex technology rises quickly, there often isn’t time to fully consider its vulnerabilities. So, it is with the cybersecurity challenges of IoT and IIoT. As these networks proliferate, so do their risks.
A range of IoT networks is used in specific scenarios, each with unique vulnerabilities. Let’s discuss common challenges faced by several network categories and how they can be addressed through new approaches.
First, let’s examine systems people use on a daily basis. Zigbee and Z-Wave, based on the IEEE 802.15.4g standard, are common in home automation and residential security. They suffer from weak or improperly implemented encryption, making them susceptible to eavesdropping and device hijacking.
AMI systems, based on the same standard, are used by utility companies for smart metering. In addition to suffering from weak encryption, they’re typically built on a "mesh topology" in which devices are not connected to a central hub or switch but rather directly to other devices in a mesh-like structure.
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While this redundant approach makes it less likely that a few faulty devices will cause system downtime, it also makes it difficult to implement basic security protocols like Transport Layer Security (TLS) and Virtual Private Networks (VPNs). For example, while VPNs and TLS are designed for stable routing, mesh networks must adapt to devices joining or leaving, making it challenging to maintain secure connections. Furthermore, mesh networks consist of devices from various manufacturers, many with compatibility issues with security features. Finally, many mesh network devices lack capabilities for advanced cryptography, secure key management and efficient communication required by these protocols. All this, in turn, increases the risk of grid instability.
Also, consider IoT systems with larger-scale applications. LoRaWAN is used in scenarios where data must be transmitted wirelessly over several miles, such as smart cities, smart farms or certain industrial scenarios. In these networks, messages between devices are divided into smaller data "packets," making it possible to send large files that would otherwise create bottlenecks.
These packets have "headers" containing descriptions of their contents, origin and destination. While LoRaWan has robust encryption for packet data, headers are typically non-encrypted. This is similar to how, if someone wants to steal mail, without even opening a letter, they can gain a good idea of what’s worth stealing based on the info printed on its outside.
This leaves LoRaWan networks vulnerable to privacy issues, replay attacks, unauthenticated devices and easily hackable encryption keys. While new standards have been proposed to address this, they’re unfortunately not backward compatible, making it impossible for many networks to implement them.
Finally, consider Modbus, which is used to transmit information between computers in a network. It illustrates possibly the worst security scenario of these IoT categories, as it is notorious for having no built-in security protocols. An attacker that breaks in may have a field day, accessing sensitive information that allows them to disrupt the entire system.
We’ve already seen the implications of these vulnerabilities. For instance, the Mirai botnet attack exploited insecure IoT devices to create a massive distributed denial-of-service (DDoS) attack.
One disturbed hacker driven by personal motives disabled a major university’s computer systems. Many future attacks, however, will be conducted by well-trained and funded teams directed by terrorist organizations or even foreign governments . In a nutshell, the stakes for securing IoT systems couldn’t be higher.
Current methods can’t protect these vital networks. For example, “airgapping” involves physically isolating a network from unsecured networks. While sound in theory, it fails in practice when breaches occur through insider threats, removable media or social engineering.
Furthermore, the temptation to connect IT and OT (Operational Technology) systems may make the physically isolated network a pipe dream. Sean McGurk, Former Director, NCCIC, the Department of Homeland Security, explained: “In our experience in conducting hundreds of vulnerability assessments in the private sector, in no case have we ever found the operations network, the SCADA system or energy management system separated from the enterprise network.”
This failure of traditional security necessitates new approaches. As the objective of IoT is to improve efficiency, these tactics mustn’t add a level of burden that negates this ability. To that end, the protocol should include the following innovations.
Lightweight cryptographic algorithms. IoT devices are designed for specific functions and have limited computational resources. Consequently, the more these resources are diverted to anything but their intended purpose—including security—the less efficiently they’ll perform. By leveraging lightweight cryptographic algorithms, these devices can be given robust security without taxing their computational power.
Dynamic security key management. Often, when an attacker breaches an IoT system, they gain free reign. However, an approach in which keys are constantly updated ensures that even if a session key is compromised, it cannot be used to decrypt communications.
Zero-trust architecture. Traditional perimeter-based security is like an eggshell—brittle on the exterior and vulnerable once breached. With zero trust, identity becomes the new perimeter, requiring strong authentication and explicit authorization for all network transactions, irrespective of location or user. Every access request is treated like it originates from an open network, shrinking the attack surface. This supports security controls that adapt to increasingly complex modern networks and cyber threats.
In summary, the vulnerabilities of IoT networks require a reevaluation of current security protocols. An approach leveraging techniques such as lightweight cryptography and dynamic key management, however, balances needs for security and efficiency, so the burden of security doesn’t stress the bandwidth of IoT devices beyond their ability to perform their core functions. In the next article, we’ll explore these advanced cryptographic techniques in more detail, discussing how they can ensure more reliable networks.
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???? Why is Money So Important in Our Lives? The Psychology Revealed ????
Hello, my WA family members. Lately, this topic has become very important to me as I earn money from my internet efforts. I increasingly realise that money is just a tool, a rather crude tool, and nothing more.
My mentor, Michael Cheney - a multi-millionaire - is really teaching me this with daily object lessons. We are making 100 videos to practice our skills, and in one of them, I started to use a teleprompter for the first time and didn't get the position quite right, meaning that my eye contact wasn't steady on the camera lens. Michael's comment - incidentally, his videos are perfect - was to reposition my phone by balancing it on a pile of books above my PC lens. I was amazed!
I suggested sending him a phone holder with an adjustable arm to hold his phone securely, which costs 300¥ ( £0.49) in Japan. LOL.
He has the means to buy the best possible equipment, such as a monitor, etc., but he doesn't. As he says, he prefers to make what he already has work better. This is truly inspiring, I think! It's important that we don't clutter up the world with equipment that can't easily be recycled!
So, this led me to share these points with you!
🚀 The Psychology of Wealth : Our attitudes towards money often stem from deep-seated psychological factors. For some, money represents security, status, and success; for others, it evokes fear, inadequacy, or guilt. Exploring the psychological roots of our financial beliefs and behaviors can lead to greater self-awareness and empowerment.
🔍 Reflect and Adjust : You must be familiar with the beliefs about money that underpin your life as you move along your pathway to wealth. Transparency and honesty with yourself and with others are imperative. You may have inherited attitudes from your family, community, and culture, so revisit and adjust them to the millionaire mindset. 🧠💡
🌟 The Philosophy of Abundance : Money symbolises abundance and exchange. Embracing an abundance mindset involves recognizing our inherent wealth and the world around us. It’s about transcending notions of scarcity and embracing life’s infinite possibilities. 🌍✨
❤️ Happiness and Positivity : Gratitude for the wealth you already have is the start, followed by using positive affirmations to create the conditions for making all your dreams come true. Your state of happiness and positivity is crucial to perceiving money healthily. If you start from a negative place of desperation to hoard money, you will transmit that bad energy into the universe. 🌞🙏
🤔 Existential Questions and Financial Meaning : Our relationship with money raises existential questions about the nature of value, purpose, and meaning. Do we merely exist to accumulate wealth, or does money serve a deeper purpose in our lives? Exploring these inquiries can lead to a deeper understanding of our motivations and aspirations. 💭🌀
🔑 Ethics of Wealth : How do we reconcile our pursuit of financial success with our moral values and social responsibilities? Delving into ethical philosophy can provide insights into balancing personal ambition with societal welfare and justice. As we become wealthy, we must examine our value system and adjust accordingly. ⚖️🌐
🛠 Money as a Tool for Self-Actualization : Ultimately, money is a tool that can either facilitate or hinder our journey towards self-actualization. Financial autonomy and security are essential for fulfilling our basic needs and pursuing higher aspirations. True fulfilment lies in aligning our financial goals with our deepest values and aspirations. 🌱🌟
In conclusion, our relationship with money is a multifaceted interplay of psychology, philosophy, and ethics. By introspecting on our beliefs, values, and aspirations, we can cultivate a more conscious and purposeful approach to money that enriches our lives, the lives of others, and the world at large. 🌍💖
Happiness is your greatest wealth, and money will never buy that. 🌈💸
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Thanks for sharing Lindi! Mel
Hi, friend. Have a look here if it is allowed through this platform: https://www.youtube.com/watch?v=1vZsxpqbngo Cheers. Paul from Canada.
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A record-breaking heat wave is cresting across the United States, with about 100 million people under extreme heat alerts . Local TV news stations, governors and health officials advise to plan accordingly , drink water, go to cooling centers if needed and above all, refrain from excess outdoor exertion.
But if you pick fruit in a field, walk door to door delivering packages, stack boxes in an oppressively hot warehouse or do any number of other jobs without air-conditioning, you don’t have much legal protection against working under sweltering conditions. In 2022 alone, 43 people died from exposure to extreme heat while working, according to the U.S. Bureau of Labor Statistics. Last year, there were others, including a postal worker who died of heat stroke in Dallas, and at least one farmworker who died after falling ill while working in extreme heat in Florida . From fields to warehouses to restaurants, laborers are in danger of illness, injuries and even death in this heat wave.
Climate scientists warn that we are reaching a tipping point where the mounting harms of global warming, including more frequent, more severe heat waves, will become irreversible. The federal government is trying to address the fact that climate change is making working conditions more dangerous each year. But its efforts aren’t likely to bear fruit quickly enough.
The key elements for protecting workers from heat above 80 degrees Fahrenheit are simple: ensure adequate rest, shade and water and allow people to adjust gradually to higher temperatures. Additional precautions are needed above 90 or 95 degrees Fahrenheit. But this is not the law in most of the country.
The Occupational Safety and Health Act has a “general duty clause” requiring employers to provide safe workplaces, but it lacks specificity on what to do in extreme heat. The Occupational Safety and Health Administration may issue a proposed rule on workplace heat relatively soon that would be likely to require , among other things, rest breaks, drinking water and cooling measures, as well as medical treatment and emergency response procedures. But once issued, there will be a comment and review period, followed by inevitable challenges from business groups arguing that the rule is too burdensome.
The Supreme Court majority’s tendency to rule against workers and overturn workplace regulation is likely to embolden these groups to appeal any decisions not in their favor, causing even more delays and perhaps thwarting the rule altogether. So it’s unlikely that any federal heat standard would take effect for the next few summers, and perhaps even longer.
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The Internet has turned our existence upside down. It has revolutionized communications, to the extent that it is now our preferred medium of everyday communication. In almost everything we do, we use the Internet. Ordering a pizza, buying a television, sharing a moment with a friend, sending a picture over instant messaging.
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The Impact of The Internet. The internet has revolutionized the way we communicate and has become an essential tool in the modern world. Before its advent, communication was limited to small radius networks, but with the laying of the first cable in the United Kingdom in the 1850s and 1860s, the groundwork for the internet was laid.
250 Words Essay on Importance of Internet The Lifeline of Modern Society: The Internet. The internet, often referred to as the "network of networks," has become an integral part of our lives. Its significance cannot be overstated as it has revolutionized communication, education, business, and entertainment. Communication and Information Access
The Changes That the Internet Has Brought to Our Lives. Internet is definitely a boon when utilized in a proper way. Firstly, the internet has played a very significant role by providing endless information and knowledge about any topic using search engines like Google Chrome, YouTube, and many more.Students are very much benefited as the internet gives them a broader understanding and ...
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As is the case with digital divides in internet use and tech adoption in general, those with more formal education and higher incomes are more likely to have had new or different experiences with tech in the pandemic. For example, 56% of those with at least a bachelor's degree say they have used technology in ways new or different to them, compared with 37% of those with some college ...
The internet has become a part of people's everyday lives in attaining information, communicating and connecting with others, developing businesses or scouting for opportunities and entertaining oneself. However, together with its benefits, the internet brings along with it some negative effects to society and culture especially in developing ...
500 Words Essay on Uses of Internet. The Internet has become a sensation nowadays. It is something that humans cannot function without anymore. It has occupied a great part of our lives. We use the internet for almost every little and a big task now. It ranges from searching for a job to listening to music.
Introduction: In simple terms internet is a unique mediocre that allows any person to access the world, it is one such influential weapon with which one can do almost everything. 'The Internet', the bad to good lives changer… and also the good to bad lives changer… Internet can change our lives from the worst to the best or from the best to the worst depending on how you use it.
Here's an in-depth look at the positive and negative effects of the internet on our daily lives: The Pros. Boost connectivity. The internet is a global networking platform and the guiding light of today's technology. Over 7 billion wireless device users use internet technology to perform various tasks. Due to its massive growth, gadgets ...
The Role Of Computers And Internet In Our Lives essay 100, 150, 200, 250 words in English helps the students with their class assignments, comprehension tasks, and even for competitive examinations. You can also find more Essay Writing articles on events, persons, sports, technology and many more.
This argument takes considers that internet has indeed affected the social lives of people all over the world. The first part of this essay presents instances where the internet has changed social lives positively or negatively. Internet has changed the social interactions of modern day world in a dynamic way and has improved the relations and ...
865 Words. 4 Pages. Open Document. In today's world Internet has become one of the most important mediums of communication. It has become the lifeline of our survival. It has removed the entire social, economic and physical barrier and has immense effect on our day to day activity. The internet has given a new outlook to the way we do business.
The Impact of Internet Usage on People's Lives. With the advancement of information technology, the Internet has become more and more indispensable in people's daily lives. ... In this paper, we present our findings that Internet usage lowers loneliness by promoting people's communications with family and friends. Therefore, ...
The Internet is a technology that has negative impacts on our daily lives. It has changed aspects of our life for the last 50 years, and it has demonstrated the considerable influence on people's lives. Almost 3.2 billion people in the world use the internet. The Internet has gained acceptance across the globe, and it has also become a reason ...
This book, Ch@nge: 19 Key Essays on How the Internet Is Changing Our Lives, is the sixth installment in BBVA's annual series devoted to the exploration of the most important issues of our time. We seek out the world's leading experts and ask them to use a straightforward approach and language ac-
Daily use of the internet generates the same feeling of well-being as taking a walk in the park. So say Andrew Przybylski, a professor at the University of Oxford, and Matti Vuorre, from the University of Tilburg, after discovering that people with internet access were 8% more satisfied with their lives than those who did not have access to the internet.
But last month another hole in the internet's infrastructure was discovered: a volunteer who for two years had helped run XZ Utils, a piece of software used to compress and decompress data on ...
Not long ago, futurists speculated about how the Internet of Things (IoT) and the Industrial Internet of Things (IIoT) would impact our lives. Now, we rely on these technologies for everything ...
In conclusion, our relationship with money is a multifaceted interplay of psychology, philosophy, and ethics. By introspecting on our beliefs, values, and aspirations, we can cultivate a more conscious and purposeful approach to money that enriches our lives, the lives of others, and the world at large. 🌍💖
Ms. Gerstein is the director of the Labor Initiative at the Robert F. Wagner Graduate School of Public Service at New York University. She spent more than 17 years enforcing labor laws in New York ...
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Chris, who has been the curator of TED Talks for more than two decades, explores how the internet can amplify the impact of generosity. He offers a plan for how everyone—including individuals, governments, and businesses—can foster more generosity. It's not just about giving money; he argues that we need to expand our definition of ...