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The Salary Taboo : Privacy Norms and the Diffusion of Information
Cullen, Zoë B. - 2018
The limited diffusion of salary information has implications for labor markets, such as wage discrimination policies and collective bargaining. Access to salary information is believed to be limited and unequal, but there is little direct evidence on the sources of these information frictions....
Persistent link: https://www.econbiz.de/10012480797
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Trends in the Diffusion of Misinformation on Social Media
Allcott, Hunt - 2019
measure trends in the diffusion of content from 569 fake news websites and 9,540 fake news stories on Facebook and Twitter … between January 2015 and July 2018. User interactions with false content rose steadily on both Facebook and Twitter through … the end of 2016. Since then, however, interactions with false content have fallen sharply on Facebook while continuing to …
Persistent link: https://www.econbiz.de/10012479456
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Social Media, Sentiment and Public Opinions : Evidence from #Brexit and #USElection
Gorodnichenko, Yuriy - 2018
This paper studies information diffusion in social media and the role of bots in shaping public opinions. Using Twitter data on the 2016 E.U. Referendum ("Brexit") and the 2016 U.S. Presidential Election, we find that diffusion of information on Twitter is largely complete within 1-2 hours....
Persistent link: https://www.econbiz.de/10012453088
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Box Office Buzz : Does Social Media Data Steal the Show from Model Uncertainty When Forecasting for Hollywood?
Lehrer, Steven - 2016
Substantial excitement currently exists in industry regarding the potential of using analytic tools to measure sentiment in social media messages to help predict individual reactions to a new product, including movies. However, the majority of models subsequently used for forecasting exercises...
Persistent link: https://www.econbiz.de/10012455721
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The Impact of Large-Scale Social Media Advertising Campaigns on COVID-19 Vaccination : Evidence from Two Randomized Controlled Trials
Ho, Lisa Y.; Breza, Emily; Alsan, Marcella; Banerjee, … - National Bureau of Economic Research - 2022
Facebook users in the US and 11.5 million in France. In both countries, we cannot reject the null of no effect of any of the …
Persistent link: https://www.econbiz.de/10013462667
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Estimating the Value of Offsite Tracking Data to Advertisers : Evidence from Meta
Wernerfelt, Nils; Tuchman, Anna; Shapiro, Bradley; … - National Bureau of Economic Research - 2024
Facebook and Instagram. We first estimate advertising effectiveness at baseline across our broad sample. We then estimate the …
Persistent link: https://www.econbiz.de/10015056091
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Circles of Trust : Rival Information in Social Networks
Persson, Petra; Roketskiy, Nikita; Lee, Samuel - National Bureau of Economic Research - 2021
sequentially, unconstrained by an exogenous protocol or timing. We show how to compute the set of eventually informed agents for …
Persistent link: https://www.econbiz.de/10012660002
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Keep It Simple : A Field Experiment on Information Sharing in Social Networks
Batista, Cátia - 2018
SMS information campaigns are increasingly used for policy. To investigate their effectiveness, we conduct a lab-in-the-field experiment to study information sharing through mobile phone messages. Subjects are rural households in Mozambique who have access to mobile money. In the base treatment,...
Persistent link: https://www.econbiz.de/10012480563
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Dynamics of Information Exchange in Endogenous Social Networks
Acemoglu, Daron - 2010
We develop a model of information exchange through communication and investigate its implications for information aggregation in large societies. An underlying state determines payoffs from different actions. Agents decide which others to form a costly communication link with incurring the...
Persistent link: https://www.econbiz.de/10012462246
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Gossip : Identifying Central Individuals in a Social Network
Banerjee, Abhijit - 2014
Can we identify the members of a community who are best- placed to diffuse information simply by asking a random sample of individuals? We show that boundedly-rational individuals can, simply by tracking sources of gossip, identify those who are most central in a network according to "diffusion...
Persistent link: https://www.econbiz.de/10012458245