How do social media feed algorithms affect attitudes and behavior in an election campaign?. Guess, A. M., Malhotra, N., Pan, J., Barberá, P., Allcott, H., Brown, T., Crespo-Tenorio, A., Dimmery, D., Freelon, D., Gentzkow, M., González-Bailón, S., Kennedy, E., Kim, Y. M., Lazer, D., Moehler, D., Nyhan, B., Rivera, C. V., Settle, J., Thomas, D. R., Thorson, E., Tromble, R., Wilkins, A., Wojcieszak, M., Xiong, B., De Jonge, C. K., Franco, A., Mason, W., Stroud, N. J., & Tucker, J. A. Science, 381(6656):398–404, July, 2023.
How do social media feed algorithms affect attitudes and behavior in an election campaign? [link]Paper  doi  abstract   bibtex   
We investigated the effects of Facebook’s and Instagram’s feed algorithms during the 2020 US election. We assigned a sample of consenting users to reverse-chronologically-ordered feeds instead of the default algorithms. Moving users out of algorithmic feeds substantially decreased the time they spent on the platforms and their activity. The chronological feed also affected exposure to content: The amount of political and untrustworthy content they saw increased on both platforms, the amount of content classified as uncivil or containing slur words they saw decreased on Facebook, and the amount of content from moderate friends and sources with ideologically mixed audiences they saw increased on Facebook. Despite these substantial changes in users’ on-platform experience, the chronological feed did not significantly alter levels of issue polarization, affective polarization, political knowledge, or other key attitudes during the 3-month study period.
@article{guessHowSocialMedia2023,
	title = {How do social media feed algorithms affect attitudes and behavior in an election campaign?},
	volume = {381},
	issn = {0036-8075, 1095-9203},
	url = {https://www.science.org/doi/10.1126/science.abp9364},
	doi = {10.1126/science.abp9364},
	abstract = {We investigated the effects of Facebook’s and Instagram’s feed algorithms during the 2020 US election. We assigned a sample of consenting users to reverse-chronologically-ordered feeds instead of the default algorithms. Moving users out of algorithmic feeds substantially decreased the time they spent on the platforms and their activity. The chronological feed also affected exposure to content: The amount of political and untrustworthy content they saw increased on both platforms, the amount of content classified as uncivil or containing slur words they saw decreased on Facebook, and the amount of content from moderate friends and sources with ideologically mixed audiences they saw increased on Facebook. Despite these substantial changes in users’ on-platform experience, the chronological feed did not significantly alter levels of issue polarization, affective polarization, political knowledge, or other key attitudes during the 3-month study period.},
	language = {en},
	number = {6656},
	urldate = {2024-05-10},
	journal = {Science},
	author = {Guess, Andrew M. and Malhotra, Neil and Pan, Jennifer and Barberá, Pablo and Allcott, Hunt and Brown, Taylor and Crespo-Tenorio, Adriana and Dimmery, Drew and Freelon, Deen and Gentzkow, Matthew and González-Bailón, Sandra and Kennedy, Edward and Kim, Young Mie and Lazer, David and Moehler, Devra and Nyhan, Brendan and Rivera, Carlos Velasco and Settle, Jaime and Thomas, Daniel Robert and Thorson, Emily and Tromble, Rebekah and Wilkins, Arjun and Wojcieszak, Magdalena and Xiong, Beixian and De Jonge, Chad Kiewiet and Franco, Annie and Mason, Winter and Stroud, Natalie Jomini and Tucker, Joshua A.},
	month = jul,
	year = {2023},
	pages = {398--404},
}

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