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Social Media, Sentiment and Public Opinions: Evidence from #Brexit and #USElection / Yuriy Gorodnichenko, Tho Pham, Oleksandr Talavera.
- Format:
- Book
- Author/Creator:
- Gorodnichenko, Yuriy.
- Series:
- Working Paper Series (National Bureau of Economic Research) no. w24631.
- NBER working paper series no. w24631
- Language:
- English
- Physical Description:
- 1 online resource: illustrations (black and white);
- Other Title:
- Social Media, Sentiment and Public Opinions
- Place of Publication:
- Cambridge, Mass. National Bureau of Economic Research 2018.
- Summary:
- 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. Stronger interactions across agents with similar beliefs are consistent with the "echo chambers" view of social media. Bots have a tangible effect on the tweeting activity of humans but the degree of bots' influence depends on whether bots provide information consistent with humans' priors. Overall, our results suggest that the aggressive use of Twitter bots, coupled with the fragmentation of social media and the role of sentiment, could contribute to the vote outcomes.
- Notes:
- Print version record
- May 2018.
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