The Production and Consumption of Social Media

References

• Alatas A, Chandrasekhar AG, Mobius M, Olken BA, Paladines C (2024) Do celebrity endorsements matter? A Twitter experiment promoting vaccination in Indonesia. Econom. J. 134(659):913–933.Google Scholar
• Allcott H, Gentzkow M (2017) Social media and fake news in the 2016 election. J. Econom. Perspectives 31(2):211–236.Crossref, Google Scholar
• Allcott H, Braghieri L, Eichmeyer S, Gentzkow M (2020) The welfare effects of social media. Amer. Econom. Rev. 110(3):629–676.Crossref, Google Scholar
• Bakshy E, Messing S, Adamic LA (2015) Exposure to ideologically diverse news and opinion on Facebook. Science 348(6239):1130–1132.Crossref, Google Scholar
• Barabási A-L, Albert R (1999) Emergence of scaling in random networks. Science 286(5439):509–512.Crossref, Google Scholar
• Berman R, Katona Z (2020) Curation algorithms and filter bubbles in social networks. Marketing Sci. 39(2):296–316.Link, Google Scholar
• Bollobás B, Borgs C, Chayes JT, Riordan O (2003) Directed scale-free graphs. Proc. Fourteenth Annual ACM-SIAM Sympos. Discrete Algorithms (SODA) (Association for Computer Machinery, New York), 132–137.Google Scholar
• Cirkovic D, Wang T, Resnick SI (2023) Preferential attachment with reciprocity: Properties and estimation. J. Complex Networks 11(5):cnad031.Crossref, Google Scholar
• Coleman B (2020) Why is it okay to average embeddings? Technical post on: https://randorithms.com/2020/11/17/Adding-Embeddings.html.Google Scholar
• Cosslett SR (1981) Chapter 2: Efficient estimation of discrete choice models. Manski CF, McFadden D, eds. Structural Analysis of Discrete Data with Econometric Applications (MIT Press, Cambridge, MA).Google Scholar
• Devlin J, Chang M-W, Lee K, Toutanova K (2019) BERT: Pre-training of deep bidirectional transformers for language understanding. Proc. 2019 Conf. North Amer. Chapter Assoc. Comput. Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) (Association for Computational Linguistics, Stroudsburg, PA), 4171–4186.Google Scholar
• Gelman A (2008) Scaling regression inputs by dividing by two standard deviations. Statist. Medicine 27(15):2865–2873.Crossref, Google Scholar
• Imbens GW (1992) An efficient method of moments estimator for discrete choice models with choice-based sampling. Econometrica 60(5):1187–1214.Crossref, Google Scholar
• Jackson MO, Wolinsky A (1996) A strategic model of social and economic networks. J. Econom. Theory 71(1):44–74.Crossref, Google Scholar
• King G, Zeng L (2001) Logistic regression in rare events data. Political Anal. 9(2):137–163.Crossref, Google Scholar
• Krueger AB (2005) The economics of real superstars: The market for rock concerts in the material world. J. Labor Econom. 23(1):1–30.Crossref, Google Scholar
• Kwak H, Lee C, Park H, Moon S (2010) What is Twitter, a social network or a news media? Proc. 19th Internat. Conf. World Wide Web (ACM, New York), 591–600.Google Scholar
• Levy RE (2021) Social media, news consumption, and polarization: Evidence from a field experiment. Amer. Econom. Rev. 111(3):831–870.Google Scholar
• Myers SA, Sharma A, Gupta P, Lin J (2014) Information network or social network? The structure of the Twitter follow graph. Proc. 23rd Internat. Conf. World Wide Web (Association for Computing Machinery, New York), 493–498.Google Scholar
• Pennycook G, Epstein Z, Mosleh M, Arechar AA, Eckles D, Rand DG (2021) Shifting attention to accuracy can reduce misinformation online. Nature 592(7855):590–595.Crossref, Google Scholar
• Rosen S (1981) The economics of superstars. Amer. Econom. Rev. 71(5):845–858.Google Scholar
• Sadri AM, Hasan S, Ukkusuri SV, Suarez Lopez JE (2018) Analysis of social interaction network properties and growth on Twitter. Soc. Networks Anal. Mining 8(1):1–13.Google Scholar
• Silverman BW (2018) Density Estimation for Statistics and Data Analysis (Routledge, New York).Crossref, Google Scholar
• Simon H (1971) Designing organizations for an information-rich world. Computers, Communications, and the Public Interest (Johns Hopkins Press, Baltimore), 37–72.Google Scholar
• Srinivasan K (2023) Paying attention. Working paper, University of Chicago, Chicago.Google Scholar
• Toubia O, Stephen AT (2013) Intrinsic vs. image-related utility in social media: Why do people contribute content to twitter? Marketing Sci. 32(3):368–392.Link, Google Scholar
• Vicario MD, Vivaldo G, Bessi A, Zollo F, Scala A, Caldarelli G, Quattrociocchi W (2016) Echo chambers: Emotional contagion and group polarization on Facebook. Sci. Rep. 6(1):1–12.Google Scholar
• White L, Togneri R, Liu W, Bennamoun M (2015) How well sentence embeddings capture meaning. Proc. 20th Australasian Document Comput. Sympos. (Association for Computing Machinery, New York), 1–8.Google Scholar