Bibliothèque

Perception is Only Real When Shared: A Mathematical Model for Collaborative Shared Perception in Human-Robot Interaction. ✓

Partners have to build a shared understanding of their environment in everyday collaborative tasks by aligning their perceptions and establishing a common ground. This is one of the aims of shared per…

Matarese, M., Rea, F., & Sciutti, A. (2022). Perception is Only Real When Shared: A Mathematical Model for Collaborative Shared Perception in Human-Robot Interaction.. Front Robot AI, 9, 733954. https://doi.org/10.3389/frobt.2022.733954

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The curve not taken: Effects of COVID-19 international comparison news.

International news can inform people not only about what is happening in other countries, but also about how their own country could benefit from policies that have proved successful elsewhere. Specif…

Kim, S. W., Santia, M., Pingree, R. J., Oden, A., Bryanov, K., & Wyers, J. (2022). The curve not taken: Effects of COVID-19 international comparison news.. PLoS One, 17(8), e0271041. https://doi.org/10.1371/journal.pone.0271041

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Investigating political polarization in India through the lens of Twitter.

Social media plays a pivotal role in shaping communication among political entities. Substantial research has been carried out for examining the impact of politicians' social media usage and interacti…

Borah, A., & Singh, S. R. (2022). Investigating political polarization in India through the lens of Twitter.. Soc Netw Anal Min, 12(1), 97. https://doi.org/10.1007/s13278-022-00939-z

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Public opinion monitoring through collective semantic analysis of tweets.

The high popularity of Twitter renders it an excellent tool for political research, while opinion mining through semantic analysis of individual tweets has proven valuable. However, exploiting relevan…

Karamouzas, D., Mademlis, I., & Pitas, I. (2022). Public opinion monitoring through collective semantic analysis of tweets.. Soc Netw Anal Min, 12(1), 91. https://doi.org/10.1007/s13278-022-00922-8

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The footprint of campaign strategies in Farsi Twitter: A case for 2021 Iranian presidential election.

The rise of social media accompanied by the Covid-19 Pandemic has instigated a shift in paradigm in the presidential campaigns in Iran from the real world to social media. Unlike previous presidential…

Mohammadi, S., Moradi, P., Firouzabadi, S. M., & Jafari, G. (2022). The footprint of campaign strategies in Farsi Twitter: A case for 2021 Iranian presidential election.. PLoS One, 17(7), e0270822. https://doi.org/10.1371/journal.pone.0270822

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Broadening the perspective on the polarized mind: Commentary on van Baar and Feldmanhall (2022).

The article "The Polarized Mind in Context: Interdisciplinary Approaches to the Psychology of Political Polarization" (van Baar & FeldmanHall, 2022) explores a crucial challenge to contemporary U.S. s…

Schneider, K. J. (2022). Broadening the perspective on the polarized mind: Commentary on van Baar and Feldmanhall (2022).. Am Psychol, 77(5), 710-711. https://doi.org/10.1037/amp0001011

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Combining Survey and Social Media Data: Respondents' Opinions on COVID-19 Measures and Their Willingness to Provide Their Social Media Account Information.

Research on combining social survey responses and social media posts has shown that the willingness to share social media accounts in surveys depends on the mode of the survey and certain socio-demogr…

Hadler, M., Klösch, B., Reiter-Haas, M., & Lex, E. (2022). Combining Survey and Social Media Data: Respondents' Opinions on COVID-19 Measures and Their Willingness to Provide Their Social Media Account Information.. Front Sociol, 7, 885784. https://doi.org/10.3389/fsoc.2022.885784

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Analyzing voter behavior on social media during the 2020 US presidential election campaign.

Every day millions of people use social media platforms by generating a very large amount of opinion-rich data, which can be exploited to extract valuable information about human dynamics and behavior…

Belcastro, L., Branda, F., Cantini, R., Marozzo, F., Talia, D., & Trunfio, P. (2022). Analyzing voter behavior on social media during the 2020 US presidential election campaign.. Soc Netw Anal Min, 12(1), 83. https://doi.org/10.1007/s13278-022-00913-9

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COVIDisgust: Language processing through the lens of partisanship.

Disgust is an aversive reaction protecting an organism from disease. People differ in how prone they are to experiencing it, and this fluctuates depending on how safe the environment is. Previous rese…

Puhacheuskaya, V., Hubert, L. y. a. l. l. . I., & Järvikivi, J. (2022). COVIDisgust: Language processing through the lens of partisanship.. PLoS One, 17(7), e0271206. https://doi.org/10.1371/journal.pone.0271206

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Twitter based sentimental analysis of Covid-19 observations.

The emergence of social media has provided people with the opportunity to express their feelings and thoughts about everything and everything in their lives. There is a massive amount of textual stuff…

Vijayaraj, A., Bhavana, K., SreeDurga, S., & Lokesh, N. a. i. k. . S. (2022). Twitter based sentimental analysis of Covid-19 observations.. Mater Today Proc, 64, 713-719. https://doi.org/10.1016/j.matpr.2022.05.194

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Partisan Differences in Legislators' Discussion of Vaccination on Twitter During the COVID-19 Era: Natural Language Processing Analysis.

BACKGROUND: The COVID-19 era has been characterized by the politicization of health-related topics. This is especially concerning given evidence that politicized discussion of vaccination may contribu…

Engel-Rebitzer, E., Stokes, D. C., Meisel, Z. F., Purtle, J., Doyle, R., & Buttenheim, A. M. (2022). Partisan Differences in Legislators' Discussion of Vaccination on Twitter During the COVID-19 Era: Natural Language Processing Analysis.. JMIR Infodemiology, 2(1), e32372. https://doi.org/10.2196/32372

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Online information disorder: fake news, bots and trolls.

Recent years have seen a tremendous increase in the propagation of different types of misinformation and disinformation, including among others fake news, rumours, clickbait and conspiracy theories. M…

Biais de confirmation et polarisation politique

Giachanou, A., Zhang, X., Barrón-Cedeño, A., Koltsova, O., & Rosso, P. (2022). Online information disorder: fake news, bots and trolls.. Int J Data Sci Anal, 13(4), 265-269. https://doi.org/10.1007/s41060-022-00325-0

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