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Jennifer Allen
Jennifer Allen
PhD Student in Marketing
Verified email at mit.edu
Title
Cited by
Cited by
Year
Evaluating the fake news problem at the scale of the information ecosystem
J Allen, B Howland, M Mobius, D Rothschild, DJ Watts
Science advances 6 (14), eaay3539, 2020
2542020
Interdependence and the cost of uncoordinated responses to COVID-19
D Holtz, M Zhao, SG Benzell, CY Cao, MA Rahimian, J Yang, J Allen, ...
Proceedings of the National Academy of Sciences 117 (33), 19837-19843, 2020
1322020
Scaling up fact-checking using the wisdom of crowds
J Allen, AA Arechar, G Pennycook, DG Rand
Science Advances 7 (36), eabf4393, 2021
732021
Birds of a feather don’t fact-check each other: Partisanship and the evaluation of news in Twitter’s Birdwatch crowdsourced fact-checking program
J Allen, C Martel, DG Rand
CHI Conference on Human Factors in Computing Systems, 1-19, 2022
122022
Research note: Examining potential bias in large-scale censored data
J Allen, M Mobius, D Rothschild, D Watts
The Harvard Kennedy School Misinformation Review, 2021
122021
Understanding and reducing online misinformation across 16 countries on six continents
AA Arechar, JNL Allen, R Cole, Z Epstein, K Garimella, A Gully, JG Lu, ...
PsyArXiv, 2022
82022
Evaluación del problema de las noticias falsas a escala del ecosistema de información
J Allen, B Howland, M Mobius, D Rothschild, D Watts
Sci. Adv 1, 2020
62020
Comparing estimates of news consumption from survey and passively collected behavioral data
T Konitzer, J Allen, S Eckman, B Howland, M Mobius, D Rothschild, ...
Public Opinion Quarterly 85 (S1), 347-370, 2021
52021
Expanding the scope of reproducibility research through data analysis replications
JM Hofman, DG Goldstein, S Sen, F Poursabzi-Sandegh
Companion Proceedings of the Web Conference 2020, 567-571, 2020
32020
Crowdsourced Fact-Checking: A Scalable Way to Fight Misinformation on Social Media
J ALLEN, AA ARECHAR, DG RAND, G PENNYCOOK
Collective Intelligence, 2020
12020
Crowds Can Effectively Identify Misinformation at Scale
C Martel, JNL Allen, G Pennycook, D Rand
PsyArXiv, 2022
2022
Addendum to: Research note: Examining potential bias in large-scale censored data
J Allen, M Mobius, DM Rothschild, DJ Watts
Harvard Kennedy School Misinformation Review 3, 2022
2022
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