The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Measuring and moderating opinion polarization in social networks
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Many traditional methods, such as modularity or assortativity, rely on simplistic null models that often fail to capture the complex dynamics of the real-world networks [16, 23].”
From DSP: A Statistically-Principled Structural Polarization Measure (2026) · cites this paper as [23]
In the citing paper
“For example, in a study of collaboration networks, Leifeld [23] found that assortative mixing could indicate polarization, but interventions targeting it had little effect on the macroscopic polarization of the network.”
From DSP: A Statistically-Principled Structural Polarization Measure (2026) · cites this paper as [23]
Citations
Cites
(1999) · Cited by 12,854
Maximizing the spread of influence through a social network
Kempe, D., Kleinberg, J. M., & Eva Tardos, D. (2003) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/956750.956769 · Cited by 7,541
(2011) · Cited by 4,430
Sentiment Analysis and Opinion Mining
Liu, B. (2012) · Synthesis lectures on human language technologies · doi:10.2200/s00416ed1v01y201204hlt016 · Cited by 3,995
Sentiment Analysis and Opinion Mining
Zhang, L., & Liu, B. (2017) · Springer eBooks · doi:10.1007/978-1-4899-7687-1_907 · Cited by 3,307
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
Sparse Approximate Solutions to Linear Systems
Natarajan, B. K. (1995) · SIAM Journal on Computing · doi:10.1137/s0097539792240406 · Cited by 2,866
The political blogosphere and the 2004 U.S. election: divided they blog
Adamic, L. A., & Glance, N. (2005) · Proceedings of the 3rd international workshop on Link discovery · doi:10.1145/1134271.1134277 · Cited by 2,619
FILTER BUBBLE: Wie wir im Internet entmündigt werden
Pariser, E. (2012) · doi:10.3139/9783446431164 · Cited by 1,849
The law of group polarization.
Sunstein, C. R. (2002) · Journal of Political Philosophy · doi:10.1111/1467-9760.00148 · Cited by 1,371
Friedkin, N. E., & Johnsen, E. C. (1990) · Journal of Mathematical Sociology · doi:10.1080/0022250x.1990.9990069 · Cited by 1,168
Updating the Inverse of a Matrix
Hager, W. W. (1989) · SIAM Review · doi:10.1137/1031049 · Cited by 1,141
Group polarization: A critical review and meta-analysis.
Isenberg, D. J. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.50.6.1141 · Cited by 1,044
Echo chambers online?: Politically motivated selective exposure among Internet news users
Garrett, R. K. (2009) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2009.01440.x · Cited by 1,040
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
Mallat, S. (2008) · Academic Press eBooks · Cited by 947
Aspect extraction for opinion mining with a deep convolutional neural network
Poria, S., Cambria, E., & Gelbukh, A. F. (2016) · Knowledge-Based Systems · doi:10.1016/j.knosys.2016.06.009 · Cited by 862
Biased assimilation, homophily, and the dynamics of polarization
Dandekar, P., Goel, A., & Lee, D. T. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1217220110 · Cited by 435
Adaptive time-frequency decompositions
Davis, G. M., Mallat, S., & Zhang, Z. (1994) · Optical Engineering · doi:10.1117/12.173207 · Cited by 359
Users Polarization on Facebook and Youtube
Bessi, A., Zollo, F., Del Vicario, M., Puliga, M., Scala, A., Caldarelli, G., Uzzi, B., & Quattrociocchi, W. (2016) · PLOS ONE · doi:10.1371/journal.pone.0159641 · Cited by 285
SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives
Cambria, E., Poria, S., Bajpai, R., & Schuller, B. W. (2016) · OPUS (Augsburg University) · Cited by 260
Modeling confirmation bias and polarization
Vicario, M. D., Scala, A., Caldarelli, G., Stanley, E., & Quattrociocchi, W. (2017) · Scientific Reports · doi:10.1038/srep40391 · Cited by 245
Presenting diverse political opinions
Munson, S. A., & Resnick, P. (2010) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753543 · Cited by 236
Biased Assimilation, Homophily, and the Dynamics of Polarization
Dandekar, P., Goel, A., & Lee, D. (2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-35311-6_47 · Cited by 201
A Measure of Polarization on Social Media Networks Based on Community Boundaries
Guerra, P., Meira, W., Cardie, C., & Kleinberg, R. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v7i1.14421 · Cited by 195
Reducing Controversy by Connecting Opposing Views
Garimella, K., De Francisci Morales, G., Gionis, A., & Mathioudakis, M. (2017) · Proceedings of the Tenth ACM International Conference on Web Search and Data Mining · doi:10.1145/3018661.3018703 · Cited by 165
Opinion maximization in social networks
Gionis, A., Terzi, E., & Tsaparas, P. (2013) · SIAM International Conference on Data Mining · doi:10.1137/1.9781611972832.43 · Cited by 162
Self-citationHow bad is forming your own opinion?
Bindel, D., Kleinberg, J. M., & Oren, S. (2014) · Games and Economic Behavior · doi:10.1016/j.geb.2014.06.004 · Cited by 158
Quantifying Controversy in Social Media
Garimella, K., De Francisci Morales, G., Gionis, A., & Mathioudakis, M. (2016) · Proceedings of the Ninth ACM International Conference on Web Search and Data Mining · doi:10.1145/2835776.2835792 · Cited by 147 · cited 1×
“…a lot of work on measures for quantifying the polarization observed in online social networks and social media (Akoglu 2014; Conover et al. 2011; Garimella et al. 2016; Guerra et al. 2013; Amelkin et al. 2015; Dandekar et al. 2013) and model its emergence (Dandekar et al. 2013; Vicario et al.…”
BackgroundEncouraging Reading of Diverse Political Viewpoints with a Browser Widget
Munson, S. A., Lee, S., & Resnick, P. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v7i1.14429 · Cited by 136
Learning User and Product Distributed Representations Using a Sequence Model for Sentiment Analysis
Chen, T., Xu, R., He, Y., Xia, Y., & Wang, X. (2016) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2016.2572539 · Cited by 122
The CLSA Model: A Novel Framework for Concept-Level Sentiment Analysis
Cambria, E., Poria, S., Bisio, F., Bajpai, R., & Chaturvedi, I. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-18117-2_1 · Cited by 87
Quantifying Political Polarity Based on Bipartite Opinion Networks
Akoglu, L. (2014) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v8i1.14524 · Cited by 79
Selecting a characteristic set of reviews
Lappas, T., Crovella, M. E., & Terzi, E. (2012) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/2339530.2339663 · Cited by 70
Self-citationOvercoming bias to learn about controversial topics
Vydiswaran, V. G. V., Zhai, C., Roth, D., & Pirolli, P. L. T. (2015) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23274 · Cited by 34
A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks
Amelkin, V., Bogdanov, P., & Singh, A. K. (2017) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde.2017.64 · Cited by 16
Research works printed but not linked: 2
- Conover M, Ratkiewicz J, Francisco MR, Gonçalves B, Menczer F, Flammini A (2011) Political polarization on Twitter. In: International conference on weblogs and social media ICWSM
- Vicario MD, Scala A, Caldarelli G, Stanley HE, Quattrociocchi W (2016) Modeling confirmation bias and polarization. arXiv:1607.00022 · arXiv
Cited by
Sorted by citations
Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship
Garimella, K., De Francisci Morales, G., Gionis, A., & Mathioudakis, M. (2018) · Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18 · doi:10.1145/3178876.3186139 · Cited by 335
Minimizing Polarization and Disagreement in Social Networks
Musco, C., Musco, C., & Tsourakakis, C. E. (2018) · International World Wide Web Conference (WWW) · doi:10.1145/3178876.3186103 · Cited by 153
Analyzing the Impact of Filter Bubbles on Social Network Polarization
Chitra, U., & Musco, C. (2020) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/3336191.3371825 · Cited by 134
Iandoli, L., Primario, S., & Zollo, G. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120924 · Cited by 122
Rastegarpanah, B., Gummadi, K. P., & Crovella, M. E. (2019) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/3289600.3291002 · Cited by 119
Metadata
- Authors
- Matakos, A., Terzi, E., & Tsaparas, P.
- Affiliations
- University of Ioannina (GR)
- Boston University (US)
- Corresponding author
- Matakos, Antonis
- Venue
- Data Mining and Knowledge Discovery
- Published
- 2017-07-15
- Volume
- 31
- Issue
- 5
- Pages
- 1480-1505
- ISSN
- 1384-5810 (ISSN-L)
- 1573-756X
- OpenAlex
- W2734474937
- Cited by
- 164
- References
- 35
- Citations by year
- 2026: 15 · 2025: 20 · 2024: 23 · 2023: 25 · 2022: 17 · 2021: 19 · 2020: 23 · 2019: 9 · 2018: 13
- FWCI
- 6.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Data Mining and Knowledge Discovery (publishedVersion)
- Funders
- H2020 Marie Skłodowska-Curie Actions (JMUGCS)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
- Social Sciences › Communication › Social Media and Politics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- opinion polarization, social networks, polarization index, echo chambers, polarization reduction, NP-hardness, polynomial-time algorithms, social media, controversial issues
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
