Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Kokil Jaidka"'
Publikováno v:
Frontiers in Digital Health, Vol 6 (2024)
Externí odkaz:
https://doaj.org/article/7a9eb870a67d4bf980b71fd8d6668784
Autor:
Saifuddin Ahmed, Kokil Jaidka, Vivian Hsueh Hua Chen, Mengxuan Cai, Anfan Chen, Claire Stravato Emes, Valerie Yu, Arul Chib
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
IntroductionThe discourse on immigration and immigrants is central to contemporary political and public discussions. Analyzing online conversations about immigrants provides valuable insights into public opinion, complemented by data from questionnai
Externí odkaz:
https://doaj.org/article/6d72e7482c49453d9eb081b43f1330c1
Publikováno v:
Information, Vol 14, Iss 12, p 661 (2023)
Within organizational settings, communication dynamics are influenced by various factors, such as email content, historical interactions, and interpersonal relationships. We introduce the Email MultiModal Architecture (EMMA) to model these dynamics a
Externí odkaz:
https://doaj.org/article/eac3fd54b5de404096ecfadc5fddea14
Autor:
Kokil Jaidka
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Spatial aggregates of survey and web search data make it possible to identify the heterogeneous well-being effects of social media platforms. This study reports evidence from different sources of longitudinal data that suggests that the well
Externí odkaz:
https://doaj.org/article/83bd0821c9284c26ab9c86a9c08082cb
Publikováno v:
Journal of Communication. 73:163-178
Algorithms play a critical role in steering online attention on social media. Many have alleged that algorithms can perpetuate bias. This study audited shadowbanning, where a user or their content is temporarily hidden on Twitter. We repeatedly teste
Talking politics: Building and validating data-driven lexica to measure political discussion quality
Autor:
Kokil Jaidka
Publikováno v:
Computational Communication Research. 4:486-527
Publikováno v:
Political Communication. 39:565-588
Prior research suggests that Twitter users in the United States are more politically engaged and more partisan compared to the American citizenry -- a public that is otherwise characterized by low levels of political knowledge and disinterest in poli
Publikováno v:
Proceedings of the 28th International Conference on Intelligent User Interfaces.
Publikováno v:
Nature Human Behaviour. 6:1045-1047
Data-Driven Unsupervised Semantic Network Algorithm for Large Language Model Examination/Exploration
Autor:
Sriram Elango, Kokil Jaidka
Publikováno v:
SSRN Electronic Journal.