References
- Cinelli, Matteo, et al. “The echo chamber effect on social media.” Proceedings of the National Academy of Sciences 118.9 (2021).
- Wang, Dandan, and Yuxing Qian. “Echo Chamber Effect in Rumor Rebuttal Discussions About COVID-19 in China: Social Media Content and Network Analysis Study.” Journal of Medical Internet Research 23.3 (2021): e27009. doi: https://doi.org/10.2196/27009
- Jiang, Julie, Xiang Ren, and Emilio Ferrara. “Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study.” JMIRx Med 2.3 (2021): e29570. doi: https://doi.org/10.2196/29570
- Luzsa, Robert, and Susanne Mayr. “False consensus in the echo chamber: Exposure to favorably biased social media news feeds leads to increased perception of public support for own opinions.” Cyberpsychology: Journal of Psychosocial Research on Cyberspace 15.1 (2021).
- van Eck, Christel W., Bob C. Mulder, and Sander van der Linden. “Echo chamber effects in the climate change blogosphere.” Environmental Communication 15.2 (2021): 145-152. doi: https://doi.org/10.1080/17524032.2020.1861048
- Lada A Adamic and Eytan Adar. Friends and neighbors on the web. Social Networks, 25(3):211–230, 2003. doi: https://doi.org/10.1016/S0378-8733(03)00009-1
- Fabian Baumann, Philipp Lorenz-Spreen, Igor M. Sokolov, and Michele Starnini. Modeling echo chambers and polarization dynamics in social networks. Phys. Rev. Lett., 124:048301, Jan 2020.
- Elizabeth Dubois and Grant Blank. The echo chamber is overstated: the moderating effect of political interest and diverse media. Information, Communication & Society, 21(5):729–745, 2018.
- Tucker Evans and Feng Fu. Opinion formation on dynamic networks: identifying conditions for the emergence of partisan echo chambers. Royal Society Open Science, 5(10):181122, 2018.
- Kar, A. K., & Aswani, R. (2021). How to differentiate propagators of information and misinformation–Insights from social media analytics based on bio-inspired computing. Journal of Information and Optimization Sciences, 42(6), 1307-1335. doi: https://doi.org/10.1080/02522667.2021.1880147
- Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, and Michael Mathioudakis. Political discourse on social media: Echo chambers, gatekeepers, and the price of bipartisanship. In Proceedings of the 2018 World Wide Web Conference, pages 913–922, 2018.
- R. Kelly Garrett. Echo chambers online?: Politically motivated selective exposure among Internet news users. Journal of Computer-Mediated Communication, 14(2):265–285, 2009. doi: https://doi.org/10.1111/j.1083-6101.2009.01440.x
- Daniel Geschke, Jan Lorenz, and Peter Holtz. The triple-filter bubble: Using agent-based modelling to test a meta-theoretical framework for the emergence of filter bubbles and echo chambers. British Journal of Social Psychology, 58(1):129–149, 2019. doi: https://doi.org/10.1111/bjso.12286
- Andrew Guess, Benjamin Lyons, Brendan Nyhan, and Jason Reifler. Avoiding the echo chamber about echo chambers: Why selective exposure to like-minded political news is less prevalent than you think. Knight Foundation, 2018.
- K.H. Jamieson and J.N. Cappella. Echo Chamber: Rush Limbaugh and the Conservative Media Establishment. Oxford University Press, 2008.
- Lorien Jasny, Joseph Waggle, and Dana R Fisher. An empirical examination of echo chambers in US climate policy networks. Nat. Clim. Change, 5(8):782–786, 2015.
- Lada A Adamic and Eytan Adar. Friends and neighbors on the web. Social Networks, 25(3):211–230, 2003. doi: https://doi.org/10.1016/S0378-8733(03)00009-1
- Bhardwaj, P., Gautam, S., & Pahwa, P. (2018). A novel approach to analyze the sentiments of tweets related to TripAdvisor. Journal of Information and Optimization Sciences, 39(2), 591-605. doi: https://doi.org/10.1080/02522667.2017.1417726
- Bhat, M. R., Kundroo, M. A., Tarray, T. A., & Agarwal, B. (2020). Deep LDA: A new way to topic model. Journal of Information and Optimization Sciences, 41(3), 823-834. doi: https://doi.org/10.1080/02522667.2019.1616911
- Kar, A. K., & Aswani, R. (2021). How to differentiate propagators of information and misinformation–Insights from social media analytics based on bio-inspired computing. Journal of Information and Optimization Sciences, 42(6), 1307-1335. doi: https://doi.org/10.1080/02522667.2021.1880147