Comparing Twitter and Traditional Media Using Topic Models
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Cites
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Claims the paper makes
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Twitter is commonly used in many countries to spread and follow important news and developments.
“It is commonly used in many countries to spread and follow important news and developments (Zhao et al. 2011).”
From Uses and Gratifications of Problematic Social Media Use Among University Students: a Simultaneous Examination of the Big Five of Personality Traits, Social Media Platforms, and Social Media Use Motives (2020) · cites this paper as Zhao et al. 2011
Cites
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What is Twitter, a social network or a news media?
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Earthquake shakes Twitter users
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Predicting the future with social media
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Self-citationMeme-tracking and the dynamics of the news cycle
Leskovec, J., Bäckström, L., & Kleinberg, J. M. (2009) · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1557019.1557077 · Cited by 1,567 · see citing works
Empirical study of topic modeling in Twitter
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Modeling online reviews with multi-grain topic models
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A cross-collection mixture model for comparative text mining
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Cross-cultural analysis of blogs and forums with mixed-collection topic models
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Generating Templates of Entity Summaries with an Entity-Aspect Model and Pattern Mining
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Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
The spread of true and false news online
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A Survey on Dialogue Systems: Recent Advances and New Frontiers
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The utility of topic modelling for discourse studies: a critical evaluation
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- Authors
- Zhao, W. X., Jiang, J., Weng, J., He, J., Lim, E.-P., Yan, H., & Li, X.
- Affiliations
- Peking University (CN)
- Singapore Management University (SG)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2011
- Pages
- 338-349
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2168332560
- Cited by
- 1,214
- References
- 16
- Citations by year
- 2026: 13 · 2025: 15 · 2024: 37 · 2023: 48 · 2022: 68 · 2021: 115 · 2020: 90 · 2019: 106 · 2018: 144 · 2017: 140 · 2016: 156 · 2015: 95 · 2014: 84 · 2013: 66 · 2012: 32
- FWCI
- 125.47
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Singapore Management University Institutional Knowledge (InK) (Singapore Management University) (submittedVersion)
- Topics
- Social Sciences › General Social Sciences › Computational and Text Analysis Methods
- Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Keywords
- Twitter, New York Times, social media news, news media comparison, topic modeling, topic categories, retweets, text mining
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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