{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T04:55:31Z","timestamp":1743051331005,"version":"3.40.3"},"publisher-location":"Cham","reference-count":36,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031785375"},{"type":"electronic","value":"9783031785382"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-78538-2_3","type":"book-chapter","created":{"date-parts":[[2025,1,24]],"date-time":"2025-01-24T07:30:24Z","timestamp":1737703824000},"page":"38-53","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Impacts of\u00a0Personalization on\u00a0Social Network Exposure"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6450-5476","authenticated-orcid":false,"given":"Nathan","family":"Bartley","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1164-9545","authenticated-orcid":false,"given":"Keith","family":"Burghardt","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5071-0575","authenticated-orcid":false,"given":"Kristina","family":"Lerman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,1,25]]},"reference":[{"issue":"1","key":"3_CR1","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1038\/s41467-020-14394-x","volume":"11","author":"N Alipourfard","year":"2020","unstructured":"Alipourfard, N., Nettasinghe, B., Abeliuk, A., Krishnamurthy, V., Lerman, K.: Friendship paradox biases perceptions in directed networks. Nat. Commun. 11(1), 707 (2020)","journal-title":"Nat. Commun."},{"issue":"6239","key":"3_CR2","doi-asserted-by":"publisher","first-page":"1130","DOI":"10.1126\/science.aaa1160","volume":"348","author":"E Bakshy","year":"2015","unstructured":"Bakshy, E., Messing, S., Adamic, L.A.: Exposure to ideologically diverse news and opinion on facebook. Science 348(6239), 1130\u20131132 (2015)","journal-title":"Science"},{"issue":"CSCW1","key":"3_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3449148","volume":"5","author":"J Bandy","year":"2021","unstructured":"Bandy, J., Diakopoulos, N.: More accounts, fewer links: how algorithmic curation impacts media exposure in twitter timelines. Proc. ACM Hum.-Comput. Interact. 5(CSCW1), 1\u201328 (2021)","journal-title":"Proc. ACM Hum.-Comput. Interact."},{"key":"3_CR4","doi-asserted-by":"crossref","unstructured":"Bartley, N., Abeliuk, A., Ferrara, E., Lerman, K.: Auditing algorithmic bias on twitter. In: 13th ACM Web Science Conference 2021, pp. 65\u201373 (2021)","DOI":"10.1145\/3447535.3462491"},{"key":"3_CR5","doi-asserted-by":"crossref","unstructured":"Bartley, N., Burghardt, K., Lerman, K.: Evaluating content exposure bias in social networks. In: Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, pp. 379\u2013383 (2023)","DOI":"10.1145\/3625007.3627724"},{"key":"3_CR6","doi-asserted-by":"crossref","unstructured":"Beattie, L., Taber, D., Cramer, H.: Challenges in translating research to practice for evaluating fairness and bias in recommendation systems. In: Proceedings of the 16th ACM Conference on Recommender Systems, pp. 528\u2013530 (2022)","DOI":"10.1145\/3523227.3547403"},{"key":"3_CR7","doi-asserted-by":"crossref","unstructured":"Chen, W., Pacheco, D., Yang, K.C., Menczer, F.: Neutral bots reveal political bias on social media. arXiv preprint arXiv:2005.08141 (2020)","DOI":"10.1038\/s41467-021-25738-6"},{"key":"3_CR8","doi-asserted-by":"crossref","unstructured":"Cheng, H.T., et al.: Wide & deep learning for recommender systems. In: Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, pp. 7\u201310 (2016)","DOI":"10.1145\/2988450.2988454"},{"key":"3_CR9","doi-asserted-by":"crossref","unstructured":"Donkers, T., Ziegler, J.: The dual echo chamber: Modeling social media polarization for interventional recommending. In: Proceedings of the 15th ACM Conference on Recommender Systems, pp. 12\u201322 (2021)","DOI":"10.1145\/3460231.3474261"},{"key":"3_CR10","doi-asserted-by":"crossref","unstructured":"Eslami, M., Aleyasen, A., Karahalios, K., Hamilton, K., Sandvig, C.: Feedvis: a path for exploring news feed curation algorithms. In: Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing, pp. 65\u201368 (2015)","DOI":"10.1145\/2685553.2702690"},{"key":"3_CR11","doi-asserted-by":"crossref","unstructured":"Eslami, M., et al.: First i \u201clike\" it, then i hide it: folk theories of social feeds. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 2371\u20132382 (2016)","DOI":"10.1145\/2858036.2858494"},{"key":"3_CR12","unstructured":"Ranking and Content. https:\/\/transparency.fb.com\/features\/ranking-and-content\/. Accessed 01 Jan 2024"},{"issue":"12","key":"3_CR13","doi-asserted-by":"publisher","first-page":"1515","DOI":"10.1177\/0956797612445313","volume":"23","author":"M Galesic","year":"2012","unstructured":"Galesic, M., Olsson, H., Rieskamp, J.: Social sampling explains apparent biases in judgments of social environments. Psychol. Sci. 23(12), 1515\u20131523 (2012)","journal-title":"Psychol. Sci."},{"key":"3_CR14","doi-asserted-by":"crossref","unstructured":"Gonz\u00e1lez-Bail\u00f3n, S., et al.: Asymmetric ideological segregation in exposure to political news on Facebook. Science 381(6656), 392\u2013398 (2023)","DOI":"10.1126\/science.ade7138"},{"issue":"1","key":"3_CR15","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1111\/sipr.12091","volume":"17","author":"S Gonz\u00e1lez-Bail\u00f3n","year":"2023","unstructured":"Gonz\u00e1lez-Bail\u00f3n, S., Lelkes, Y.: Do social media undermine social cohesion? a critical review. Soc. Issues Policy Rev. 17(1), 155\u2013180 (2023)","journal-title":"Soc. Issues Policy Rev."},{"key":"3_CR16","doi-asserted-by":"crossref","unstructured":"Guess, A.M., et al.: How do social media feed algorithms affect attitudes and behavior in an election campaign? Science 381(6656), 398\u2013404 (2023)","DOI":"10.1126\/science.abp9364"},{"key":"3_CR17","doi-asserted-by":"crossref","unstructured":"Guo, D., et al.:: Deep Bayesian bandits: exploring in online personalized recommendations. In: Fourteenth ACM Conference on Recommender Systems, pp. 456\u2013461 (2020)","DOI":"10.1145\/3383313.3412214"},{"key":"3_CR18","doi-asserted-by":"crossref","unstructured":"He, X., Liao, L., Zhang, H., Nie, L., Hu, X., Chua, T.S.: Neural collaborative filtering. In: Proceedings of the 26th International Conference on World Wide Web, pp. 173\u2013182 (2017)","DOI":"10.1145\/3038912.3052569"},{"issue":"1","key":"3_CR19","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2025334119","volume":"119","author":"F Husz\u00e1r","year":"2022","unstructured":"Husz\u00e1r, F., Ktena, S.I., O\u2019Brien, C., Belli, L., Schlaikjer, A., Hardt, M.: Algorithmic amplification of politics on twitter. Proc. Natl. Acad. Sci. 119(1), e2025334119 (2022)","journal-title":"Proc. Natl. Acad. Sci."},{"key":"3_CR20","doi-asserted-by":"crossref","unstructured":"Juneja, P., Mitra, T.: Auditing e-commerce platforms for algorithmically curated vaccine misinformation. In: Proceedings of the 2021 Chi Conference on Human Factors in Computing Systems, pp. 1\u201327 (2021)","DOI":"10.1145\/3411764.3445250"},{"issue":"12","key":"3_CR21","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2116884119","volume":"119","author":"R Kardosh","year":"2022","unstructured":"Kardosh, R., Sklar, A.Y., Goldstein, A., Pertzov, Y., Hassin, R.R.: Minority salience and the overestimation of individuals from minority groups in perception and memory. Proc. Natl. Acad. Sci. 119(12), e2116884119 (2022)","journal-title":"Proc. Natl. Acad. Sci."},{"key":"3_CR22","doi-asserted-by":"crossref","unstructured":"Kooti, F., Hodas, N., Lerman, K.: Network weirdness: exploring the origins of network paradoxes. In: Proceedings of the International AAAI Conference on Web and Social Media, vol.\u00a08, pp. 266\u2013274 (2014)","DOI":"10.1609\/icwsm.v8i1.14543"},{"key":"3_CR23","doi-asserted-by":"crossref","unstructured":"Lazovich, T., et al.: Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. Patterns 3(8), 100568 (2022)","DOI":"10.1016\/j.patter.2022.100568"},{"key":"3_CR24","doi-asserted-by":"crossref","unstructured":"Lerman, K., Yan, X., Wu, X.Z.: The \u201cmajority illusion\" in social networks. PLoS ONE 11(2), e0147617 (2016)","DOI":"10.1371\/journal.pone.0147617"},{"key":"3_CR25","doi-asserted-by":"crossref","unstructured":"Nikolov, D., Flammini, A., Menczer, F.: Right and left, partisanship predicts (asymmetric) vulnerability to misinformation. Harvard Kennedy School (HKS) Misinformation Review (2021)","DOI":"10.37016\/mr-2020-55"},{"key":"3_CR26","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1016\/j.techfore.2016.06.010","volume":"111","author":"P Panagiotopoulos","year":"2016","unstructured":"Panagiotopoulos, P., Barnett, J., Bigdeli, A.Z., Sams, S.: Social media in emergency management: Twitter as a tool for communicating risks to the public. Technol. Forecast. Soc. Chang. 111, 86\u201396 (2016)","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"3_CR27","doi-asserted-by":"crossref","unstructured":"Ramaciotti\u00a0Morales, P., Cointet, J.P.: Auditing the effect of social network recommendations on polarization in geometrical ideological spaces. In: Proceedings of the 15th ACM Conference on Recommender Systems, pp. 627\u2013632 (2021)","DOI":"10.1145\/3460231.3478851"},{"key":"3_CR28","doi-asserted-by":"crossref","unstructured":"Ribeiro, M.H., Ottoni, R., West, R., Almeida, V.A., Meira\u00a0Jr, W.: Auditing radicalization pathways on Youtube. In: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, pp. 131\u2013141 (2020)","DOI":"10.1145\/3351095.3372879"},{"key":"3_CR29","unstructured":"Ribeiro, M.H., Veselovsky, V., West, R.: The amplification paradox in recommender systems. arXiv preprint arXiv:2302.11225 (2023)"},{"key":"3_CR30","doi-asserted-by":"crossref","unstructured":"Rodriguez, M.G., Gummadi, K., Schoelkopf, B.: Quantifying information overload in social media and its impact on social contagions. In: Proceedings of the International AAAI Conference on Web and Social Media, vol.\u00a08, pp. 170\u2013179 (2014)","DOI":"10.1609\/icwsm.v8i1.14549"},{"issue":"2014","key":"3_CR31","first-page":"4349","volume":"22","author":"C Sandvig","year":"2014","unstructured":"Sandvig, C., Hamilton, K., Karahalios, K., Langbort, C.: Auditing algorithms: research methods for detecting discrimination on internet platforms. Data Discriminat.: Convert. Critic. Concerns Product. Inquiry 22(2014), 4349\u20134357 (2014)","journal-title":"Data Discriminat.: Convert. Critic. Concerns Product. Inquiry"},{"key":"3_CR32","doi-asserted-by":"crossref","unstructured":"Sapiezynski, P., Zeng, W., E\u00a0Robertson, R., Mislove, A., Wilson, C.: Quantifying the impact of user attention on fair group representation in ranked lists. In: Companion Proceedings of the 2019 World Wide Web Conference, pp. 553\u2013562 (2019)","DOI":"10.1145\/3308560.3317595"},{"key":"3_CR33","unstructured":"How Tiktok Recomends Videos for You. https:\/\/newsroom.tiktok.com\/en-us\/how-tiktok-recommends-videos-for-you. Accessed 01 Jan 2024"},{"key":"3_CR34","doi-asserted-by":"crossref","unstructured":"Tomlein, M., et al.: An audit of misinformation filter bubbles on Youtube: bubble bursting and recent behavior changes. In: Proceedings of the 15th ACM Conference on Recommender Systems, pp. 1\u201311 (2021)","DOI":"10.1145\/3460231.3474241"},{"key":"3_CR35","unstructured":"https:\/\/github.com\/twitter\/the-algorithm\/. Accessed 01 Jan 2024"},{"key":"3_CR36","unstructured":"On Youtube\u2019s Recommendation System. https:\/\/blog.youtube\/inside-youtube\/on-youtubes-recommendation-system\/. Accessed 01 Jan 2024"}],"container-title":["Lecture Notes in Computer Science","Social Networks Analysis and Mining"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78538-2_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,24]],"date-time":"2025-01-24T07:30:48Z","timestamp":1737703848000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78538-2_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031785375","9783031785382"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78538-2_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"25 January 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"All data were anonymized prior to analysis. The analysis has minimal risk to user privacy, and analysis is unlikely to involve any ethical risk.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Statement"}},{"value":"ASONAM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advances in Social Networks Analysis and Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Rende","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"asonam-12024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/asonam.cpsc.ucalgary.ca\/2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}