Measuring and moderating opinion polarization in social networks

Untitled work

(1999) · Cited by 12,854 · see citing works

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 · see citing works

Untitled work

(2011) · Cited by 4,430 · see citing works

Sentiment Analysis and Opinion Mining

Liu, B. (2012) · Synthesis lectures on human language technologies · doi:10.2200/s00416ed1v01y201204hlt016 · Cited by 3,837 · see citing works

Sentiment Analysis and Opinion Mining

Zhang, L., & Liu, B. (2017) · Encyclopedia of Machine Learning and Data Mining · doi:10.1007/978-1-4899-7687-1_907 · Cited by 3,299 · see citing works

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 · see citing works

Sparse Approximate Solutions to Linear Systems

Natarajan, B. K. (1995) · SIAM Journal on Computing · doi:10.1137/s0097539792240406 · Cited by 2,866 · see citing works

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 · see citing works

FILTER BUBBLE: Wie wir im Internet entmündigt werden

Pariser, E. (2012) · doi:10.3139/9783446431164 · Cited by 1,849 · see citing works

The law of group polarization.

Sunstein, C. R. (2002) · Journal of Political Philosophy · doi:10.1111/1467-9760.00148 · Cited by 1,371 · see citing works

Social influence and opinions

Friedkin, N. E., & Johnsen, E. C. (1990) · Journal of Mathematical Sociology · doi:10.1080/0022250x.1990.9990069 · Cited by 1,168 · see citing works

Updating the Inverse of a Matrix

Hager, W. W. (1989) · SIAM Review · doi:10.1137/1031049 · Cited by 1,141 · see citing works

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 · see citing works

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 · see citing works

A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way

Mallat, S. (2008) · Academic Press eBooks · Cited by 947 · see citing works

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 · see citing works

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 · see citing works

Adaptive time-frequency decompositions

Davis, G. M., Mallat, S., & Zhang, Z. (1994) · Optical Engineering · doi:10.1117/12.173207 · Cited by 359 · see citing works

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 · see citing works

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 · see citing works

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 · see citing works

Modeling confirmation bias and polarization

Vicario, M. D., Antonio Scala, A., Caldarelli, G., Stanley, E., & Quattrociocchi, W. (2017) · Scientific Reports · doi:10.1038/srep40391 · Cited by 224 · see citing works

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 · see citing works

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 188 · see citing works

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 · see citing works

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 · see citing works

How 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 · see citing works

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× · see citing works

Encouraging 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 · see citing works

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 · see citing works

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 85 · see citing works

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 · see citing works

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 · see citing works

Overcoming 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 · see citing works

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 · see citing works

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 · see citing works

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 132 · see citing works

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 · see citing works

The impact of group polarization on the quality of online debate in social media: A systematic literature review

Iandoli, L., Primario, S., & Zollo, G. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120924 · Cited by 122 · see citing works

Fighting Fire with Fire

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 · see citing works

Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of BipartisanshipPreprint

Garimella, K., Morales, G. D. F., Gionis, A., & Mathioudakis, M. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1801.01665 · Cited by 101 · see citing works

Quantifying ideological polarization on a network using generalized Euclidean distance

Hohmann, M., Devriendt, K., & Coscia, M. (2023) · Science Advances · doi:10.1126/sciadv.abq2044 · Cited by 74 · see citing works

Gaps in Information Access in Social Networks?

Fish, B., Bashardoust, A., Boyd, D., Friedler, S., Scheidegger, C., & Venkatasubramanian, S. (2019) · International World Wide Web Conference (WWW) · doi:10.1145/3308558.3313680 · Cited by 61 · see citing works

Quantifying and Minimizing Risk of Conflict in Social Networks

Chen, X., Lijffijt, J., & Bie, T. D. (2018) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3219819.3220074 · Cited by 59 · see citing works

A deep learning framework for clickbait detection on social area network using natural language cues

Naeem, B., Khan, A., Beg, M. O., & Mujtaba, H. (2020) · Journal of Computational Social Science · doi:10.1007/s42001-020-00063-y · Cited by 54 · see citing works

Emergence of Polarization in Coevolving Networks

Liu, J., Huang, S., Aden, N. M., Johnson, N. F., & Song, C. (2023) · Physical Review Letters · doi:10.1103/physrevlett.130.037401 · Cited by 45 · see citing works

Modeling Public Opinion Reversal Process with the Considerations of External Intervention Information and Individual Internal Characteristics

Chen, T., Wang, Y., Yang, J., & Cong, G. (2020) · Healthcare · doi:10.3390/healthcare8020160 · Cited by 45 · see citing works

Public support for sustainable development and environmental policy: A case of the Czech Republic

Čábelková, I., Smutka, Ľ., & Striełkowski, W. (2021) · Sustainable Development · doi:10.1002/sd.2232 · Cited by 42 · see citing works

Affective Polarization in Online Climate Change Discourse on Twitter

Tyagi, A., Uyheng, J., & Carley, K. M. (2020) · 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · doi:10.1109/asonam49781.2020.9381419 · Cited by 41 · see citing works

Tell me Something My Friends do not Know: Diversity Maximization in Social Networks

Matakos, A., Tu, S., & Gionis, A. (2018) · Knowledge and Information Systems · doi:10.1007/s10115-020-01456-1 · Cited by 41 · see citing works

A Viral Marketing-Based Model For Opinion Dynamics in Online Social Networks

Tu, S., & Neumann, S. (2022) · International World Wide Web Conference (WWW) · doi:10.1145/3485447.3512203 · Cited by 39 · see citing works

Spread of Information With Confirmation Bias in Cyber-Social Networks

Mao, Y., Bolouki, S., & Akyol, E. (2018) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2018.2878377 · Cited by 35 · see citing works

First-passage times to quantify and compare structural correlations and heterogeneity in complex systems

Bassolas, A., & Nicosia, V. (2021) · Communications Physics · doi:10.1038/s42005-021-00580-w · Cited by 35 · see citing works

RePBubLik: Reducing Polarized Bubble Radius with Link Insertions

Haddadan, S., Menghini, C., Riondato, M., & Upfal, E. (2021) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/3437963.3441825 · Cited by 31 · see citing works

Dynamics of Opinion Polarization

Biondi, E., Boldrini, C., Passarella, A., & Conti, M. (2023) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2023.3268758 · Cited by 30 · see citing works

Public Health and the Virtues of Responsibility, Compassion and Humility

Fahlquist, J. N. (2019) · Public Health Ethics · doi:10.1093/phe/phz007 · Cited by 31 · see citing works

Modeling Explosive Opinion Depolarization in Interdependent Topics

Ojer, J., Starnini, M., & Pastor‐Satorras, R. (2023) · Physical Review Letters · doi:10.1103/physrevlett.130.207401 · Cited by 30 · see citing works

Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender SystemsPreprint

Rastegarpanah, B., Gummadi, K. P., & Crovella, M. E. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1812.01504 · Cited by 29 · see citing works

Maximizing the Diversity of Exposure in a Social Network

Matakos, A., Aslay, Ç., Galbrun, E., & Gionis, A. (2020) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2020.3038711 · Cited by 28 · see citing works

An Agent-Based Model of Opinion Polarization Driven by Emotions

Schweitzer, F., Kriváchy, T., & García, D. (2020) · Complexity · doi:10.1155/2020/5282035 · Cited by 31 · see citing works

Investigating the opinions distribution in the controversy on social media

Qiu, J., Lin, Z., & Shuai, Q. (2019) · Information Sciences · doi:10.1016/j.ins.2019.03.041 · Cited by 27 · see citing works

The impact of noise and topology on opinion dynamics in social networks

Stern, S., & Livan, G. (2021) · Royal Society Open Science · doi:10.1098/rsos.201943 · Cited by 27 · see citing works

Maximizing the Diversity of Exposure in a Social Network

Aslay, Ç., Matakos, A., Galbrun, E., & Gionis, A. (2018) · Proceedings · doi:10.1109/icdm.2018.00102 · Cited by 26 · see citing works

GENE: Graph generation conditioned on named entities for polarity and controversy detection in social media

Mendoza, M., Parra, D., & Soto, Á. (2020) · Information Processing & Management · doi:10.1016/j.ipm.2020.102366 · Cited by 25 · see citing works

Friedkin-Johnsen Model for Opinion Dynamics on Signed Graphs

Zhou, X., Sun, H., Xu, W., Li, W., & Zhang, Z. (2024) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2024.3424974 · Cited by 24 · see citing works

Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks

Paudel, B., & Bernstein, A. (2021) · International World Wide Web Conference (WWW) · doi:10.1145/3442381.3449970 · Cited by 24 · see citing works

Disinformation on the COVID-19 pandemic and the Russia-Ukraine War: Two sides of the same coin?

del Vas, R. S., & Navarro, J. T. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-03355-0 · Cited by 23 · see citing works

Introduction to the Role of Information and Communication Technologies in Polarization

Qureshi, I., Bhatt, B., Gupta, S., & Tiwari, A. A. (2022) · Springer eBooks · doi:10.1007/978-981-16-5268-4_1 · Cited by 23 · see citing works

Strategies for reducing polarization in social networks

Wu, Y., Li, L., Yu, Q., Gan, J., & Zhang, Y. (2023) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2022.113095 · Cited by 22 · see citing works

Exposing influence campaigns in the age of LLMs: a behavioral-based AI approach to detecting state-sponsored trolls

Ezzeddine, F., Ayoub, O., Giordano, S., Nogara, G., Sbeity, I., Ferrara, E., & Luceri, L. (2023) · EPJ Data Science · doi:10.1140/epjds/s13688-023-00423-4 · Cited by 22 · see citing works

Heated conversations in a warming world: affective polarization in online climate change discourse follows real-world climate anomalies

Tyagi, A., Uyheng, J., & Carley, K. M. (2021) · Social Network Analysis and Mining · doi:10.1007/s13278-021-00792-6 · Cited by 21 · see citing works

Polarization of Opinions on COVID-19 Measures: Integrating Twitter and Survey Data

Reiter-Haas, M., Klösch, B., Hadler, M., & Lex, E. (2022) · Social Science Computer Review · doi:10.1177/08944393221087662 · Cited by 21 · see citing works

A framework for quantifying controversy of social network debates using attributed networks: biased random walk (BRW)

Emamgholizadeh, H., Nourizade, M., Tajbakhsh, M. S., Hashminezhad, M., & Hasheminezha, F. N. E. M. (2020) · Social Network Analysis and Mining · doi:10.1007/s13278-020-00703-1 · Cited by 21 · see citing works

Toxicity in the Decentralized Web and the Potential for Model Sharing

Zia, H. B., Raman, A., Castro, I., Anaobi, I. H., Cristofaro, E. D., Sastry, N., & Gareth Tyson, A. (2022) · Proceedings of the ACM on Measurement and Analysis of Computing Systems · doi:10.1145/3530901 · Cited by 20 · see citing works

Opinion Optimization in Directed Social Networks

Sun, H., & Zhang, Z. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v37i4.25585 · Cited by 20 · see citing works

Fast Evaluation for Relevant Quantities of Opinion Dynamics

Xu, W., Bao, Q., & Zhang, Z. (2021) · International World Wide Web Conference (WWW) · doi:10.1145/3442381.3449812 · Cited by 19 · see citing works

Towards Consensus: Reducing Polarization by Perturbing Social Networks

Rácz, M. Z., & Rigobon, D. E. (2023) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2023.3262970 · Cited by 18 · see citing works

A Review Selection Method for Finding an Informative Subset from Online Reviews

Zhang, J., Wang, C., & Chen, G. (2020) · INFORMS journal on computing · doi:10.1287/ijoc.2019.0950 · Cited by 18 · see citing works

Examining green purchasing. The role of environmental concerns, perceptions on climate change, preferences for EU integration, and media exposure

Hlaváček, M., Čábelková, I., Brož, D., Smutka, L., & Procházka, P. (2023) · Frontiers in Environmental Science · doi:10.3389/fenvs.2023.1130533 · Cited by 17 · see citing works

Linear Opinion Dynamics Model With Higher Order Interactions

Xu, W.-Y., & Zhang, Z.-Z. (2023) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2023.3324144 · Cited by 15 · see citing works

Maximizing fair content spread via edge suggestion in social networks

Swift, I. P., Ebrahimi, S., Nova, A., & Asudeh, A. (2022) · Proceedings of the VLDB Endowment · doi:10.14778/3551793.3551824 · Cited by 15 · see citing works

Breaking Consensus in Kinetic Opinion Formation Models on Graphons

Düring, B., Franceschi, J., Wolfram, M.-T., & Zanella, M. (2024) · Journal of Nonlinear Science · doi:10.1007/s00332-024-10060-4 · Cited by 15 · see citing works

Measuring Controversy in Social Networks Through NLP

de Zárate, J. M. O., Giovanni, M. D., Feuerstein, E., & Brambilla, M. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-59212-7_14 · Cited by 15 · see citing works

Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach

Alatawi, F., Sheth, P., & Liu, H. (2023) · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · doi:10.1145/3625007.3627731 · Cited by 12 · see citing works

Understanding Filter Bubbles and Polarization in Social NetworksPreprint

Chitra, U., & Musco, C. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1906.08772 · Cited by 12 · see citing works

Opinion dynamics in social networks incorporating higher-order interactions

Zhang, Z., Xu, W., Zhang, Z., & Chen, G. (2024) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-024-01064-5 · Cited by 11 · see citing works

A Nearly-Linear Time Algorithm for Minimizing Risk of Conflict in Social Networks

Zhu, L., & Zhang, Z. (2022) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3534678.3539469 · Cited by 11 · see citing works

Measuring the Ease of Communication in Bipartite Social Endorsement Networks: A Proxy to Study the Dynamics of Political Polarization

Shahrezaye, M., Papakyriakopoulos, O., Serrano, J. C. M., & Hegelich, S. (2019) · International Conference on Social Media & Society · doi:10.1145/3328529.3328556 · Cited by 10 · see citing works

Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity

Hofmann, V., Dong, X., Pierrehumbert, J. B., & Schuetze, H. (2022) · Findings of the Association for Computational Linguistics: NAACL · doi:10.18653/v1/2022.findings-naacl.41 · Cited by 10 · see citing works

Social Depolarization and Diversity of Opinions—Unified ABM Framework

Sobkowicz, P. (2023) · Entropy · doi:10.3390/e25040568 · Cited by 11 · see citing works

Lobbying in social media as a new source of survey bias

Taczanowska, K., Latosińska, B., Brandenburg, C., Leisch, F., Czachs, C., & Muhar, A. (2023) · Journal of Outdoor Recreation and Tourism · doi:10.1016/j.jort.2023.100689 · Cited by 10 · see citing works

Evaluation and control of opinion polarization and disagreement: a review

Li, Y., & Zhao, H. V. (2021) · International Journal of Crowd Science · doi:10.1108/ijcs-02-2021-0003 · Cited by 9 · see citing works

Social bots and mass media manipulated public opinion through dual opinion climate

Cheng, C., Luo, Y., Yu, C. B., & Ding, W.-P. (2021) · Chinese Physics B · doi:10.1088/1674-1056/ac0baa · Cited by 9 · see citing works

Adversaries with Limited Information in the Friedkin-Johnsen Model

Tu, S., Neumann, S., & Gionis, A. (2023) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3580305.3599255 · Cited by 9 · see citing works

Facilitating cross-cleavage communication online: Findings from interviews with ultra-Orthodox, religious, and secular participants

Lev‐On, A., & Lissitsa, S. (2018) · The Communication Review · doi:10.1080/10714421.2018.1495434 · Cited by 9 · see citing works

Does Social Media Use Polarize or Depolarize Political Opinion in China? Explaining Opinion Polarization Within an Extended Communication Mediation Model

Guo, J., & Hu, Y. (2023) · Social Media + Society · doi:10.1177/20563051231196899 · Cited by 8 · see citing works

Polarization on social media: Comparing the dynamics of interaction networks and language‐based opinion distributions

Durrheim, K., & Schuld, M. (2025) · Political Psychology · doi:10.1111/pops.70000 · Cited by 8 · see citing works

Social network heterogeneity promotes depolarization of multidimensional correlated opinions

Ojer, J., Starnini, M., & Pastor‐Satorras, R. (2025) · Physical Review Research · doi:10.1103/physrevresearch.7.013207 · Cited by 8 · see citing works

Sublinear-Time Opinion Estimation in the Friedkin--Johnsen Model

Neumann, S., Dong, Y., & Peng, P. (2024) · International World Wide Web Conference (WWW) · doi:10.1145/3589334.3645572 · Cited by 8 · see citing works

The power of sound: unravelling how acoustic communication shapes group dynamics

Briefer, E. F., Xie, B., Engesser, S., Sueur, C., Freeberg, T. M., & Brask, J. B. (2024) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2023.0182 · Cited by 8 · see citing works

Effects of Stubbornness on Opinion Dynamics

Xu, W.-Y., Zhu, L.-W., Guan, J., Zhang, Z.-B., & Zhang, Z.-Z. (2022) · International Conference on Information and Knowledge Management · doi:10.1145/3511808.3557304 · Cited by 23 · see citing works

Sentiment Polarization in Online Social Networks: The Flow of Hate Speech

Katsarou, K., Sunder, S., Woloszyn, V., & Semertzidis, K. (2021) · International Conference on Social Networks Analysis, Management and Security (SNAMS) · doi:10.1109/snams53716.2021.9732077 · Cited by 7 · see citing works

On the Evolution of Public Opinion in the Presence of Confirmation BIAS

Mao, Y., Bolouki, S., & Akyol, E. (2018) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2018.8619824 · Cited by 7 · see citing works

Vocabulary-Based Method for Quantifying Controversy in Social Media

de Zárate, J. M. O., & Feuerstein, E. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-57855-8_12 · Cited by 9 · see citing works

Quantitative Modeling and Analysis of Argumentation Polarization in Cyber Argumentation

Sirrianni, J., Liu, X., & Adams, D. (2020) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2020.3035228 · Cited by 7 · see citing works

Reducing information overload in e-participation: A data-driven prioritization framework for policy-makers

Lega, M., Giunta, B., Pirnay, L., Simonofski, A., & Burnay, C. (2024) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2024.100264 · Cited by 6 · see citing works

Do zealots increase or decrease the polarization of social networks?

Shekatkar, S. M. (2019) · Journal of Complex Networks · doi:10.1093/comnet/cnz036 · Cited by 6 · see citing works

Transient prophylaxis and multiple epidemic waves

Tyson, R. C., Marshall, N. D., & Baumgaertner, B. O. (2022) · AIMS Mathematics · doi:10.3934/math.2022311 · Cited by 6 · see citing works

An agent-based model of opinion polarization driven by emotionsPreprint

Schweitzer, F., Kriváchy, T., & García, D. (2020) · doi:10.31235/osf.io/8m2wq · Cited by 6 · see citing works

The Impact of External Sources on the Friedkin–Johnsen Model

Out, C., Tu, S., Neumann, S., & Zehmakan, A. N. (2024) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/3627673.3679780 · Cited by 5 · see citing works

Understanding and Mitigating Polarization in Community Notes: Factors and Strategies for Improved Consensus

Toyoda, K., Fukuma, T., Noda, K., Ichikawa, Y., Kambe, K., Masubuchi, Y., Someda, H., & Toriumi, F. (2025) · International World Wide Web Conference (WWW) · doi:10.1145/3701716.3717541 · Cited by 5 · see citing works

Defending Against Malicious Influence Control in Online Leader-Follower Social Networks

Zhu, L., Zhou, X., Tian, J., Li, W., & Zhang, Z. (2024) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2024.3383244 · Cited by 5 · see citing works

Studying opinion polarization on social media

Jiang, T. (2022) · Social Work and Social Welfare · doi:10.25082/swsw.2022.02.003 · Cited by 5 · see citing works

Modeling and simulation analysis of public opinion polarization in a dynamic network environment

Yuan, J., Shi, J., Che, J., Xu, C., & Wang, J. (2020) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.5771 · Cited by 5 · see citing works

Emergence of social phases in human movement

Zhang, Y., Sarker, D., Mitsven, S. G., Perry, L. K., Messinger, D. S., Rudolph, U., Siller, M., & Song, C. (2024) · Physical review. E · doi:10.1103/physreve.110.044303 · Cited by 5 · see citing works

Extending DeGroot Opinion Formation for Signed Graphs and Minimizing Polarization

Rahaman, I., & Hosein, P. A. (2021) · Studies in computational intelligence · doi:10.1007/978-3-030-65351-4_24 · Cited by 5 · see citing works

An overview of opinion polarization: models, drivers, and strategic solutions

Liu, S., Wu, Z., & Martínez, L. (2025) · Information Processing & Management · doi:10.1016/j.ipm.2025.104433 · Cited by 5 · see citing works

Children's social preference for teachers versus peers in autism inclusion classrooms: An objective perspective

Drye, M., Banarjee, C., Perry, L. K., Viggiano, A., Irvin, D., & Messinger, D. S. (2024) · Autism Research · doi:10.1002/aur.3276 · Cited by 4 · see citing works

Quantifying extreme opinions on Reddit amidst the 2023 Israeli–Palestinian conflict

Guerra, A., Lepre, M., & Karakuş, O. (2025) · Natural Language Processing Journal · doi:10.1016/j.nlp.2025.100156 · Cited by 4 · see citing works

Maximizing the Diversity of Exposure in Online Social Networks by Identifying Users with Increased Susceptibility to Persuasion

Zareie, A., & Sakellariou, R. (2023) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/3625826 · Cited by 4 · see citing works

Modeling the Impact of Timeline Algorithms on Opinion Dynamics Using Low-rank Updates

Zhou, T., Neumann, S., Garimella, K. K., & Gionis, A. (2024) · International World Wide Web Conference (WWW) · doi:10.1145/3589334.3645714 · Cited by 4 · see citing works

Balanced News Using Constrained Bandit-based Personalization

Kapoor, S., Keswani, V., Vishnoi, N. K., & Celis, L. E. (2018) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2018/854 · Cited by 4 · see citing works

Reducing polarization and increasing diverse navigability in graphs by inserting edges and swapping edge weights

Haddadan, S., Menghini, C., Riondato, M., & Upfal, E. (2022) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-022-00875-8 · Cited by 4 · see citing works

Efficient algorithm to compute Markov transitional probabilities for a desired PageRank

Berend, G. (2020) · EPJ Data Science · doi:10.1140/epjds/s13688-020-00240-z · Cited by 3 · see citing works

Cross-community affinity: A polarization measure for multi-community networks

Nair, S., & Iamnitchi, A. (2024) · Online Social Networks and Media · doi:10.1016/j.osnem.2024.100280 · Cited by 3 · see citing works

Unsupervised Framing Analysis for Social Media Discourse in Polarizing Events

Sarmiento, H., Córdova, R., Ortiz, J., Bravo-Márquez, F., dos Santos, M. L. B., & Valenzuela, S. (2025) · ACM Transactions on the Web · doi:10.1145/3711912 · Cited by 4 · see citing works

A model for optimizing article recommendation for reducing polarization

Rahaman, I., & Hosein, P. A. (2021) · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · doi:10.1145/3487351.3488349 · Cited by 3 · see citing works

PyPoll: A python library automating mining of networks, discussions and polarization on Twitter

Giakatos, D. P., Sermpezis, P., & Vakali, A. I. (2023) · International World Wide Web Conference (WWW) · doi:10.1145/3543873.3587349 · Cited by 3 · see citing works

An organizational form framework to measure and interpret online polarization

Phillips, S. C., & Carley, K. M. (2023) · Information Communication & Society · doi:10.1080/1369118x.2023.2240580 · Cited by 3 · see citing works

Influence of Opinion Formation on Polarization in Social Networks

Das, S., Dutta, S. M., Chakraborty, S., & Biswas, S. (2023) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt56998.2023.10307862 · Cited by 3 · see citing works

Influence modeling of opinion switching by Twitter users in public shaming events

Basak, R., Ghosh, S. K., & Sural, S. (2020) · Social Network Analysis and Mining · doi:10.1007/s13278-020-00698-9 · Cited by 3 · see citing works

Robust Opinion Control Under Network Perturbation

Li, Y., Chen, Z., & Zhao, H. V. (2022) · IEEE Signal Processing Letters · doi:10.1109/lsp.2022.3193039 · Cited by 3 · see citing works

Disentangling Overlapping Beliefs by Structured Matrix FactorizationPreprint

Yang, C., Li, J., Wang, R., Yao, S., Shao, H., Liu, D., Liu, S., Wang, T., & Abdelzaher, T. (2020) · arXiv (Cornell University) · Cited by 3 · see citing works

Can Celebrities Burst Your Bubble?Preprint

Elmas, T., Hardi, K., Overdorf, R., & Aberer, K. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2003.06857 · Cited by 3 · see citing works

Modeling Ideological Agenda Setting and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity.Preprint

Hofmann, V., Pierrehumbert, J. B., & Schütze, H. (2021) · arXiv (Cornell University) · Cited by 3 · see citing works

Opinion de-polarization in social networks with GNNsPreprint

Mylonas, K., & Spyropoulos, T. (2024) · arXiv (Cornell University) · doi:10.48550/arxiv.2412.09404

Network polarization, filter bubbles, and echo chambers: an annotated review of measures and reduction methods

Interian, R., G. Marzo, R., Mendoza, I., & Ribeiro, C. C. (2023) · International Transactions in Operational Research · doi:10.1111/itor.13224 · Cited by 67 · see citing works

Opinion Depolarization in Social Networks using GNNs

Mylonas, K., & Spyropoulos, T. (2026) · Workshop on Machine Learning and Systems (EuroMLSys) · doi:10.1145/3805621.3807625

Strategies for reducing polarization in social networks

Wu, Y., Li, L., Yu, Q., Gan, J., & Zhang, Y. (2023) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2022.113095 · Cited by 22 · see citing works

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 132 · see citing works