The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings
Open accessAbstract
Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Jesse Shapiro, Matthew Gentzkow, Dan Jurafsky. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 2019.
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Citations
Cites
Glove: Global Vectors for Word Representation
Pennington, J., Socher, R., & Manning, C. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.3115/v1/d14-1162 · Cited by 34,071 · cited 2×
“Train GloVe embeddings (Pennington et al., 2014) on V based on 11-50k random samples of tweets from each event.”
BackgroundMethodAustin, J. L. (1975) · doi:10.1093/acprof:oso/9780198245537.001.0001 · Cited by 21,496
Critical race theory: an introduction
Delgado, R., Stefancic, J., & Harris, A. (2013) · Choice Reviews Online · doi:10.5860/choice.50-2938 · Cited by 5,992
Exposure to ideologically diverse news and opinion on Facebook
Bakshy, E., Messing, S., & Adamic, L. A. (2015) · Science · doi:10.1126/science.aaa1160 · Cited by 3,245 · cited 3×
“com/ddemszky/framing-twitter 2016) and Facebook (Bakshy et al., 2015).”
BackgroundIyengar, S., Sood, G., & Lelkes, Y. (2012) · Public Opinion Quarterly · doi:10.1093/poq/nfs038 · Cited by 2,996 · cited 1×
“, 2009), and so emotional expression represents another semantic layer relevant to polarization (Iyengar et al., 2012; Suhay, 2015).”
Background(2009) · Cited by 1,900
Political Polarization in the American Public
Fiorina, M. P., & Abrams, S. J. (2008) · Annual Review of Political Science · doi:10.1146/annurev.polisci.11.053106.153836 · Cited by 1,798 · cited 1×
“, forthcoming), and the propagation of partisan frames can influence public opinion (Chong and Druckman, 2007) and party identification (Fiorina and Abrams, 2008).”
BackgroundFraming Bias: Media in the Distribution of Power
Entman, R. M. (2007) · Journal of Communication · doi:10.1111/j.1460-2466.2006.00336.x · Cited by 1,781 · cited 1×
“The strategy of highlighting particular aspects within topics as a means of framing (Entman, 2007) has also been quantified in the NLP literature (Boydstun et al.”
BackgroundPolitical Polarization on Twitter
Conover, M., Ratkiewicz, J., Francisco, M., Goncalves, B., Flammini, A., & Menczer, F. (2011) · Zenodo · doi:10.5281/zenodo.4589064 · Cited by 1,254
A biterm topic model for short texts
Yan, X., Guo, J., Lan, Y., & Cheng, X. (2013) · International World Wide Web Conference (WWW) · doi:10.1145/2488388.2488514 · Cited by 1,165 · cited 3×
“We build on the ability of vector space models to represent higher-level semantics to develop our own embedding-based topic assignment approach, comparing it with two traditional LDAbased methods: MALLET8 and the Biterm Topic Model (BTM) (Yan et al., 2013); BTM was developed specifically for tweets.”
MethodInfluential
Research works printed but not linked: 3
- Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings https://aclanthology.org/N19-1304/ (Demszky et al., NAACL 2019)
- Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings (Demszky et al., NAACL 2019)
- ACL materials are Copyright © 1963–2026 ACL; other materials are copyrighted by their respective copyright holders. Materials prior to 2016 here are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 International License. Permission is granted to make copies for the purposes of teaching and research. Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License.
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Can Large Language Models Transform Computational Social Science?
Ziems, C., Held, W., Shaikh, O., Chen, J., Zhang, Z., & Yang, D. (2024) · Computational Linguistics · doi:10.1162/coli_a_00502 · Cited by 585
“We evaluate on the Indian English dialect feature detection task of Demszky et al. (2019) because this is one of the only available datasets to be handlabeled by a domain expert.”
BackgroundMethodGenerative Adversarial Networks for face generation: A survey
Kammoun, A., Slama, R., Tabia, H., Ouni, T., & Abid, M. (2022) · ACM Computing Surveys · doi:10.1145/1122445.1122456 · Cited by 370
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Aldayel, A., & Magdy, W. (2021) · Information Processing & Management · doi:10.1016/j.ipm.2021.102597 · Cited by 290
“The work of [Demszky et al. 2019] analyzed the attitudes about 21 mass shooting event.”
BackgroundMethodResultFeng, S., Park, C. Y., Liu, Y., & Tsvetkov, Y. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/2023.acl-long.656 · Cited by 149
Emotion and Reason in Political Language
Gennaro, G., & Ash, E. (2021) · The Economic Journal · doi:10.1093/ej/ueab104 · Cited by 134
Metadata
- Authors
- Demszky, D., Garg, N., Voigt, R., Zou, J., Shapiro, J., Gentzkow, M., & Jurafsky, D.
- Affiliations
- Stanford University (US)
- Brown University (US)
- Venue
- Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
- Published
- 2019
- Pages
- 2970-3005
- OpenAlex
- W2963834345
- Semantic Scholar
- 3475876c3f5e624587181744bc5acf4223aecd00
- Cited by
- 164
- References
- 52
- Citations by year
- 2026: 3 · 2025: 35 · 2024: 10 · 2023: 24 · 2022: 35 · 2021: 29 · 2020: 22 · 2019: 6
- FWCI
- 9.21
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
- Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
- Social Sciences › Communication › Social Media and Politics
- Keywords
- polarization, social media, tweets, mass shootings, sentiment analysis, political polarization, online discourse
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