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on Information and Communication Technologies |
| By: | Howley, P.; Boyce, C.; |
| Abstract: | Much previous research has examined the relationship between online socialising and mental health, but conclusions are mixed and often contradictory. In this present paper we unpack the online social networking - mental health relationship by examining to what extent the relationship between these variables is personality-specific. Consistent with the idea that communicating through the internet is fundamentally different from face-to-face socializing, we find that on average, use of social networking web-sites is negatively associated with mental health. However, we find that the mental health response is dependent upon an individual’s underlying personality traits. Specifically, individuals who are either relatively extraverted or agreeable are not substantively affected from spending significant amounts of time on social networking web-sites. On the other hand, individuals who are relatively more neurotic or conscientiousness are much more likely to experience substantive reductions in their mental health from using social networking web-sites. We suggest that if the aim of public policy is to mitigate the adverse mental health effects from excessive internet use, then one-size-fits all measures will likely be misplaced. More generally, our research highlights the importance of conducting differentiated analyses of internet users when examining the health effects from internet use. |
| Keywords: | personality traits; psychological health; internet; social interaction; |
| JEL: | I10 |
| Date: | 2017–01 |
| URL: | http://d.repec.org/n?u=RePEc:yor:hectdg:17/01&r=ict |
| By: | Ben Shiller; Joel Waldfogel; Johnny Ryan |
| Abstract: | Ad blockers allow Internet users to obtain information without generating ad revenue for site owners; and by 2016 they were used by roughly a quarter of site visitors. Given the ad-supported nature of much of the web, ad blocking poses a threat to site revenue and, if revenue losses undermine investment, a possible threat to consumers' access to appealing content. Using unique, proprietary, and site-specific data on the share of site visitors using ad blockers at a few thousand sites, along with Alexa traffic data, we explore the impact of ad blocker usage on site quality, as inferred from traffic ranks, 2013-2016. We find that each additional percentage point of site visitors using ad blockers raises (worsens) its traffic rank by about 0.6 percent over a 35 month period, with stronger effects at initially worse-ranked sites. We provide additional evidence of causality by showing that the relationship between traffic trends and eventual ad blocking does not predate ad blocking. Plausible instruments for ad blocking also deliver consistent results. Effects of ad blocking on revenue are compounded by the fact that ad blocking reduces visits, while also generating less revenue from remaining visitors employing ad blockers. We conclude that ad blocking poses a substantial threat to the ad-supported web. |
| JEL: | L81 L82 |
| Date: | 2017–01 |
| URL: | http://d.repec.org/n?u=RePEc:nbr:nberwo:23058&r=ict |