{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T05:16:24Z","timestamp":1790486184187,"version":"4.1.0"},"publisher-location":"New York, NY, USA","reference-count":27,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,2,8]],"date-time":"2016-02-08T00:00:00Z","timestamp":1454889600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"SoBigData: Social Mining & Big Data Ecosystem","award":["654024"],"award-info":[{"award-number":["654024"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2016,2,8]]},"DOI":"10.1145\/2835776.2835792","type":"proceedings-article","created":{"date-parts":[[2016,2,4]],"date-time":"2016-02-04T16:26:02Z","timestamp":1454603162000},"page":"33-42","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":83,"title":["Quantifying Controversy in Social Media"],"prefix":"10.1145","author":[{"given":"Kiran","family":"Garimella","sequence":"first","affiliation":[{"name":"Aalto University, Helsinki, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gianmarco","family":"De Francisci Morales","sequence":"additional","affiliation":[{"name":"Aalto University, Helsinki, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aristides","family":"Gionis","sequence":"additional","affiliation":[{"name":"Aalto University, Helsinki, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Mathioudakis","sequence":"additional","affiliation":[{"name":"HIIT, Helsinki, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2016,2,8]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1134271.1134277"},{"key":"e_1_3_2_1_2_1","volume-title":"ICWSM","author":"Akoglu L.","year":"2014","unstructured":"L. Akoglu . Quantifying political polarity based on bipartite opinion networks . In ICWSM , 2014 . L. Akoglu. Quantifying political polarity based on bipartite opinion networks. In ICWSM, 2014."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2660460.2660469"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-13734-6_18"},{"key":"e_1_3_2_1_5_1","volume-title":"Structural holes: The social structure of competition","author":"Burt R. S.","year":"2009","unstructured":"R. S. Burt . Structural holes: The social structure of competition . Harvard university press , 2009 . R. S. Burt. Structural holes: The social structure of competition. Harvard university press, 2009."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-13601-6_16"},{"key":"e_1_3_2_1_7_1","volume-title":"ICWSM","author":"Conover M.","year":"2011","unstructured":"M. Conover , J. Ratkiewicz , M. Francisco , B. Gon\u00e7alves , F. Menczer , and A. Flammini . Political Polarization on Twitter . In ICWSM , 2011 . M. Conover, J. Ratkiewicz, M. Francisco, B. Gon\u00e7alves, F. Menczer, and A. Flammini. Political Polarization on Twitter. In ICWSM, 2011."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1979.4766909"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2482991.2483002"},{"key":"e_1_3_2_1_10_1","volume-title":"The California Speaks Health Care Reform Experiment. SSRN","author":"Esterling K. M.","year":"2010","unstructured":"K. M. Esterling , A. Fung , and T. Lee . How Much Disagreement is Good for Democratic Deliberation ? The California Speaks Health Care Reform Experiment. SSRN , 2010 . K. M. Esterling, A. Fung, and T. Lee. How Much Disagreement is Good for Democratic Deliberation? The California Speaks Health Care Reform Experiment. SSRN, 2010."},{"key":"e_1_3_2_1_11_1","volume-title":"Filter bubbles, echo chambers, and online news consumption","author":"Flaxman S. R.","year":"2015","unstructured":"S. R. Flaxman , S. Goel , and J. M. Rao . Filter bubbles, echo chambers, and online news consumption , 2015 . S. R. Flaxman, S. Goel, and J. M. Rao. Filter bubbles, echo chambers, and online news consumption, 2015."},{"key":"e_1_3_2_1_12_1","volume-title":"Data portraits: Connecting people of opposing views. pharXiv preprint arXiv:1311.4658","author":"Graells-Garrido E.","year":"2013","unstructured":"E. Graells-Garrido , M. Lalmas , and D. Quercia . Data portraits: Connecting people of opposing views. pharXiv preprint arXiv:1311.4658 , 2013 . E. Graells-Garrido, M. Lalmas, and D. Quercia. Data portraits: Connecting people of opposing views. pharXiv preprint arXiv:1311.4658, 2013."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2531602.2531676"},{"key":"e_1_3_2_1_14_1","volume-title":"ICWSM","author":"Guerra P. H. C.","year":"2013","unstructured":"P. H. C. Guerra , W. Meira Jr , C. Cardie , and R. Kleinberg . A measure of polarization on social media networks based on community boundaries . In ICWSM , 2013 . P. H. C. Guerra, W. Meira Jr, C. Cardie, and R. Kleinberg. A measure of polarization on social media networks based on community boundaries. In ICWSM, 2013."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0098679"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/775047.775126"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.21236\/ADA439508"},{"key":"e_1_3_2_1_18_1","volume-title":"METIS - Unstructured Graph Partitioning and Sparse Matrix Ordering System","author":"Karypis G.","year":"1995","unstructured":"G. Karypis and V. Kumar . METIS - Unstructured Graph Partitioning and Sparse Matrix Ordering System , 1995 . G. Karypis and V. Kumar. METIS - Unstructured Graph Partitioning and Sparse Matrix Ordering System, 1995."},{"key":"e_1_3_2_1_19_1","volume-title":"ICWSM","author":"Kulshrestha J.","year":"2015","unstructured":"J. Kulshrestha , M. B. Zafar , L. E. Noboa , K. P. Gummadi , and S. Ghosh . Characterizing information diets of social media users . In ICWSM , 2015 . J. Kulshrestha, M. B. Zafar, L. E. Noboa, K. P. Gummadi, and S. Ghosh. Characterizing information diets of social media users. In ICWSM, 2015."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.2050762"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1114856"},{"key":"e_1_3_2_1_22_1","volume-title":"Symposium on Computation Journalism","author":"Mejova Y.","year":"2014","unstructured":"Y. Mejova , A. X. Zhang , N. Diakopoulos , and C. Castillo . Controversy and sentiment in online news . Symposium on Computation Journalism , 2014 . Y. Mejova, A. X. Zhang, N. Diakopoulos, and C. Castillo. Controversy and sentiment in online news. Symposium on Computation Journalism, 2014."},{"key":"e_1_3_2_1_23_1","volume-title":"Measuring political polarization: Twitter shows the two sides of Venezuela. Chaos, 25 (3)","author":"Morales A.","year":"2015","unstructured":"A. Morales , J. Borondo , J. Losada , and R. Benito . Measuring political polarization: Twitter shows the two sides of Venezuela. Chaos, 25 (3) , 2015 . A. Morales, J. Borondo, J. Losada, and R. Benito. Measuring political polarization: Twitter shows the two sides of Venezuela. Chaos, 25 (3), 2015."},{"key":"e_1_3_2_1_24_1","volume-title":"ICWSM","author":"Munson S. A.","year":"2013","unstructured":"S. A. Munson , S. Y. Lee , and P. Resnick . Encouraging reading of diverse political viewpoints with a browser widget . In ICWSM , 2013 . S. A. Munson, S. Y. Lee, and P. Resnick. Encouraging reading of diverse political viewpoints with a browser widget. In ICWSM, 2013."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488483"},{"key":"e_1_3_2_1_26_1","first-page":"1","volume-title":"CyberEmotions","author":"Thelwall M.","year":"2013","unstructured":"M. Thelwall . Heart and soul: Sentiment strength detection in the social web with sentistrength . In CyberEmotions , pages 1 -- 14 , 2013 . M. Thelwall. Heart and soul: Sentiment strength detection in the social web with sentistrength. In CyberEmotions, pages 1--14, 2013."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1086\/jar.33.4.3629752"}],"event":{"name":"WSDM 2016: Ninth ACM International Conference on Web Search and Data Mining","location":"San Francisco California USA","acronym":"WSDM 2016","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the Ninth ACM International Conference on Web Search and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2835776.2835792","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2835776.2835792","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T05:48:20Z","timestamp":1750225700000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2835776.2835792"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,2,8]]},"references-count":27,"alternative-id":["10.1145\/2835776.2835792","10.1145\/2835776"],"URL":"https:\/\/doi.org\/10.1145\/2835776.2835792","relation":{},"subject":[],"published":{"date-parts":[[2016,2,8]]},"assertion":[{"value":"2016-02-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}