{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T02:14:24Z","timestamp":1777515264369,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":38,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T00:00:00Z","timestamp":1699228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","award":["N00014-21-1-4002"],"award-info":[{"award-number":["N00014-21-1-4002"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100011820","name":"Saudi Arabian Cultural Mission","doi-asserted-by":"publisher","id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100011820","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100002383","name":"King Saud University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100002383","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,11,6]]},"DOI":"10.1145\/3625007.3627731","type":"proceedings-article","created":{"date-parts":[[2024,3,15]],"date-time":"2024-03-15T15:12:42Z","timestamp":1710515562000},"page":"38-45","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0723-5016","authenticated-orcid":false,"given":"Faisal","family":"Alatawi","sequence":"first","affiliation":[{"name":"Arizona State University, Tempe, United States"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6186-6946","authenticated-orcid":false,"given":"Paras","family":"Sheth","sequence":"additional","affiliation":[{"name":"Arizona State University, Tempe, United States"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3264-7904","authenticated-orcid":false,"given":"Huan","family":"Liu","sequence":"additional","affiliation":[{"name":"Arizona State University, Tempe, United States"}]}],"member":"320","published-online":{"date-parts":[[2024,3,15]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2023301118"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","first-page":"99","DOI":"10.12840\/ISSN.2255-4165.028","article-title":"Echo chambers on social media: A systematic review of the literature","volume":"9","author":"Terren L.","year":"2021","unstructured":"L. Terren and R. Borge-Bravo, \"Echo chambers on social media: A systematic review of the literature,\" RCR, vol. 9, pp. 99--118, Mar. 2021.","journal-title":"RCR"},{"key":"e_1_3_2_1_3_1","volume-title":"A survey on echo chambers on social media: Description, detection and mitigation","author":"Alatawi F.","year":"2021","unstructured":"F. Alatawi, L. Cheng, A. Tahir, M. Karami, B. Jiang, T. Black, and H. Liu, \"A survey on echo chambers on social media: Description, detection and mitigation,\" Dec. 2021."},{"issue":"1","key":"e_1_3_2_1_4_1","first-page":"78","article-title":"Echo chamber detection and analysis","volume":"11","author":"Villa G.","year":"2021","unstructured":"G. Villa, G. Pasi, and M. Viviani, \"Echo chamber detection and analysis,\" SNAM, vol. 11, no. 1, p. 78, Aug. 2021.","journal-title":"SNAM"},{"issue":"1","key":"e_1_3_2_1_5_1","first-page":"1","article-title":"Filter bubbles, echo chambers, and fake news: How social media conditions individuals to be less critical of political misinformation","volume":"39","author":"Rhodes S. C.","year":"2022","unstructured":"S. C. Rhodes, \"Filter bubbles, echo chambers, and fake news: How social media conditions individuals to be less critical of political misinformation,\" PolComm, vol. 39, no. 1, pp. 1--22, Jan. 2022.","journal-title":"PolComm"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1517441113"},{"issue":"1","key":"e_1_3_2_1_7_1","first-page":"18","article-title":"Disinformation and echo chambers: How disinformation circulates on social media through identity-driven controversies","volume":"42","author":"Diaz Ruiz C.","year":"2023","unstructured":"C. Diaz Ruiz and T. Nilsson, \"Disinformation and echo chambers: How disinformation circulates on social media through identity-driven controversies,\" JPP&M, vol. 42, no. 1, pp. 18--35, Jan. 2023.","journal-title":"JPP&M"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.124.048301"},{"issue":"1","key":"e_1_3_2_1_9_1","first-page":"119","article-title":"Examining the interactive effects of the filter bubble and the echo chamber on radicalization","volume":"19","author":"Wolfowicz M.","year":"2023","unstructured":"M. Wolfowicz, D. Weisburd, and B. Hasisi, \"Examining the interactive effects of the filter bubble and the echo chamber on radicalization,\" JEC, vol. 19, no. 1, pp. 119--141, Mar. 2023.","journal-title":"JEC"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3140565"},{"issue":"1","key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1609\/icwsm.v7i1.14421","article-title":"A measure of polarization on social media networks based on community boundaries","volume":"7","author":"Guerra P.","year":"2013","unstructured":"P. Guerra, W. M. Jr, C. Cardie, and R. Kleinberg, \"A measure of polarization on social media networks based on community boundaries,\" ICWSM, vol. 7, no. 1, pp. 215--224, 2013.","journal-title":"ICWSM"},{"issue":"1","key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1140\/epjds\/s13688-019-0213-9","article-title":"Quantifying echo chamber effects in information spreading over political communication networks","volume":"8","author":"Cota W.","year":"2019","unstructured":"W. Cota, S. C. Ferreira, R. Pastor-Satorras, and M. Starnini, \"Quantifying echo chamber effects in information spreading over political communication networks,\" EPJ Data Science, vol. 8, no. 1, pp. 1--13, Dec. 2019.","journal-title":"EPJ Data Science"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-017-0527-9"},{"key":"e_1_3_2_1_14_1","first-page":"369","volume-title":"Minimizing polarization and disagreement in social networks,\" in WWW '18","author":"Musco C.","year":"2018","unstructured":"C. Musco, C. Musco, and C. E. Tsourakakis, \"Minimizing polarization and disagreement in social networks,\" in WWW '18, 2018, pp. 369--378."},{"key":"e_1_3_2_1_15_1","volume-title":"Variational graph auto-encoders","author":"Kipf T. N.","year":"2016","unstructured":"T. N. Kipf and M. Welling, \"Variational graph auto-encoders,\" 2016."},{"key":"e_1_3_2_1_16_1","volume-title":"Birds of a feather: Homophily in social networks,\" ARSO","author":"McPherson M.","unstructured":"M. McPherson, L. Smith-Lovin, and J. M. Cook, \"Birds of a feather: Homophily in social networks,\" ARSO, vol. 27, no. 1, 2001."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1162\/tacl_a_00062","article-title":"Overcoming language variation in sentiment analysis with social attention","volume":"5","author":"Yang Y.","year":"2017","unstructured":"Y. Yang and J. Eisenstein, \"Overcoming language variation in sentiment analysis with social attention,\" TACL, vol. 5, pp. 295--307, 2017.","journal-title":"TACL"},{"issue":"2","key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1177\/0956797619894557","article-title":"Language-style similarity and social networks","volume":"31","author":"Kovacs B.","year":"2020","unstructured":"B. Kovacs and A. M. Kleinbaum, \"Language-style similarity and social networks,\" Psychological Science, vol. 31, no. 2, pp. 202--213, 2020.","journal-title":"Psychological Science"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1609\/icwsm.v14i1.7285","article-title":"Falling into the echo chamber: The italian vaccination debate on twitter","volume":"14","author":"Cossard A.","year":"2020","unstructured":"A. Cossard, G. D. F. Morales, K. Kalimeri, Y. Mejova, D. Paolotti, and M. Starnini, \"Falling into the echo chamber: The italian vaccination debate on twitter,\" ICWSM, vol. 14, pp. 130--140, May 2020.","journal-title":"ICWSM"},{"key":"e_1_3_2_1_20_1","volume-title":"Sentence-bert: Sentence embeddings using siamese bert-networks","author":"Reimers N.","year":"2019","unstructured":"N. Reimers and I. Gurevych, \"Sentence-bert: Sentence embeddings using siamese bert-networks,\" Aug. 2019."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1609\/icwsm.v15i1.18082","article-title":"Embeddings-based clustering for target specific stances: The case of a polarized turkey","volume":"15","author":"Rashed A.","year":"2021","unstructured":"A. Rashed, M. Kutlu, K. Darwish, T. Elsayed, and C. Bayrak, \"Embeddings-based clustering for target specific stances: The case of a polarized turkey,\" ICWSM, vol. 15, pp. 537--548, May 2021.","journal-title":"ICWSM"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1177\/0956797615594620"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"M. H. DeGroot \"Reaching a consensus \" JASA vol. 69 no. 345 1974.","DOI":"10.2307\/2285509"},{"key":"e_1_3_2_1_24_1","volume-title":"Measuring political polarization: Twitter shows the two sides of venezuela,\" Chaos","author":"Morales A. J.","unstructured":"A. J. Morales, J. Borondo, J. C. Losada, and R. M. Benito, \"Measuring political polarization: Twitter shows the two sides of venezuela,\" Chaos, vol. 25, no. 3, 2015."},{"key":"e_1_3_2_1_25_1","volume-title":"Clustering validation measures,\" in Data Clustering","author":"Xiong H.","year":"2014","unstructured":"H. Xiong and Z. Li, \"Clustering validation measures,\" in Data Clustering. Chapman and Hall\/CRC, 2014."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/0377-0427(87)90125-7"},{"key":"e_1_3_2_1_27_1","volume-title":"Fast unfolding of communities in large networks,\" JSTAT","author":"Blondel V. D.","year":"2008","unstructured":"V. D. Blondel, J.-L. Guillaume, R. Lambiotte, and E. Lefebvre, \"Fast unfolding of communities in large networks,\" JSTAT, 2008."},{"key":"e_1_3_2_1_28_1","volume-title":"Guaranteeing well-connected communities,\" SciRep","author":"Traag V. A.","unstructured":"V. A. Traag, L. Waltman, and N. J. van Eck, \"From louvain to leiden: Guaranteeing well-connected communities,\" SciRep, vol. 9, no. 1, 2019."},{"key":"e_1_3_2_1_29_1","volume-title":"Toward a standard approach for echo chamber detection: Reddit case study,\" ApplSci","author":"Morini V.","year":"2021","unstructured":"V. Morini, L. Pollacci, and G. Rossetti, \"Toward a standard approach for echo chamber detection: Reddit case study,\" ApplSci, 2021."},{"key":"e_1_3_2_1_30_1","first-page":"597","volume-title":"Aug. 2019","author":"Calder\u00f3n F. H.","unstructured":"F. H. Calder\u00f3n, L.-K. Cheng, M.-J. Lin, Y.-H. Huang, and Y.-S. Chen, \"Content-based echo chamber detection on social media platforms,\" in ASONAM '19, Aug. 2019, pp. 597--600."},{"issue":"1","key":"e_1_3_2_1_31_1","first-page":"90","article-title":"A framework for quantifying controversy of social network debates using attributed networks: Biased random walk","volume":"10","author":"Emamgholizadeh H.","year":"2020","unstructured":"H. Emamgholizadeh, M. Nourizade, M. S. Tajbakhsh, M. Hashminezhad, and F. N. Esfahani, \"A framework for quantifying controversy of social network debates using attributed networks: Biased random walk,\" SNAM, vol. 10, no. 1, p. 90, Dec. 2020.","journal-title":"SNAM"},{"key":"e_1_3_2_1_32_1","volume-title":"Retweet-bert: Political leaning detection using language features and information diffusion on social networks","author":"Jiang J.","year":"2022","unstructured":"J. Jiang, X. Ren, and E. Ferrara, \"Retweet-bert: Political leaning detection using language features and information diffusion on social networks,\" Jul. 2022."},{"key":"e_1_3_2_1_33_1","first-page":"162","volume-title":"May 2019","author":"Badawy A.","unstructured":"A. Badawy, K. Lerman, and E. Ferrara, \"Who falls for online political manipulation?\" in WWW '19, May 2019, pp. 162--168."},{"issue":"1","key":"e_1_3_2_1_34_1","first-page":"7","article-title":"Influence of fake news in twitter during the 2016 us presidential election","volume":"10","author":"Bovet A.","year":"2019","unstructured":"A. Bovet and H. A. Makse, \"Influence of fake news in twitter during the 2016 us presidential election,\" NatComm, vol. 10, no. 1, p. 7, 2019.","journal-title":"NatComm"},{"key":"e_1_3_2_1_35_1","volume-title":"Oct.","author":"Ferrara E.","year":"2020","unstructured":"E. Ferrara, H. Chang, E. Chen, G. Muric, and J. Patel, \"Characterizing social media manipulation in the 2020 u.s. presidential election,\" First Monday, Oct. 2020."},{"key":"e_1_3_2_1_36_1","volume-title":"Fluid communities: A competitive, scalable and diverse community detection algorithm","author":"Par\u00e9s F.","year":"2017","unstructured":"F. Par\u00e9s, D. Garcia-Gasulla, A. Vilalta, J. Moreno, E. Ayguad\u00e9, J. Labarta, U. Cort\u00e9s, and T. Suzumura, \"Fluid communities: A competitive, scalable and diverse community detection algorithm,\" Oct. 2017."},{"issue":"86","key":"e_1_3_2_1_37_1","first-page":"2579","article-title":"Visualizing data using t-sne","volume":"9","author":"van der Maaten L.","year":"2008","unstructured":"L. van der Maaten and G. Hinton, \"Visualizing data using t-sne,\" JMLR, vol. 9, no. 86, pp. 2579--2605, 2008.","journal-title":"JMLR"},{"key":"e_1_3_2_1_38_1","volume-title":"Forceatlas2, a continuous graph layout algorithm for handy network visualization designed for the gephi software,\" PLOS ONE","author":"Jacomy M.","unstructured":"M. Jacomy, T. Venturini, S. Heymann, and M. Bastian, \"Forceatlas2, a continuous graph layout algorithm for handy network visualization designed for the gephi software,\" PLOS ONE, vol. 9, no. 6, 2014."}],"event":{"name":"ASONAM '23: International Conference on Advances in Social Networks Analysis and Mining","location":"Kusadasi Turkiye","acronym":"ASONAM '23","sponsor":["SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","IEEE CS"]},"container-title":["Proceedings of the International Conference on Advances in Social Networks Analysis and Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3625007.3627731","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3625007.3627731","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:46:50Z","timestamp":1750178810000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3625007.3627731"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,6]]},"references-count":38,"alternative-id":["10.1145\/3625007.3627731","10.1145\/3625007"],"URL":"https:\/\/doi.org\/10.1145\/3625007.3627731","relation":{},"subject":[],"published":{"date-parts":[[2023,11,6]]},"assertion":[{"value":"2024-03-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}