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Fingerprint Dive into the research topics where Yotam Shmargad is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 6 Similar Profiles
social media Social Sciences
twitter Social Sciences
Circuit theory Engineering & Materials Science
outgroup Social Sciences
Electric network analysis Engineering & Materials Science
Application programs Engineering & Materials Science
Visibility Engineering & Materials Science
purchase Social Sciences

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Research Output 2014 2019

  • 32 Citations
  • 3 h-Index
  • 5 Article
  • 3 Conference contribution
  • 1 Review article

How partisan online environments shape communication with political outgroups

Shmargad, Y. & Klar, S. M., Jan 1 2019, In : International Journal of Communication. 13, p. 2287-2313 27 p.

Research output: Contribution to journalArticle

social media
11 Citations (Scopus)

Challenges, solutions, and policy implications

Williams, B. A., Brooks, C. F. & Shmargad, Y., Jan 1 2018, In : Journal of Information Policy. 8, p. 78-115 38 p.

Research output: Contribution to journalReview article

university admission
sociotechnical system
Application programs
online service
Information use
1 Citation (Scopus)

Twitter Influencers in the 2016 US Congressional Races

Shmargad, Y., Jan 1 2018, (Accepted/In press) In : Journal of Political Marketing.

Research output: Contribution to journalArticle

social media

Network perspectives on privacy and security in the internet of things: From actor-network theory to social network analysis

Shmargad, Y., 2017, SS-17-01: Artificial Intelligene for the Social Good; SS-17-02: Computational Construction Grammar and Natural Language Understanding; SS-17-03: Computational Context: Why It's Important, What It Means, and Can It Be Computed?; SS-17-04: Designing the User Experience of Machine Learning Systems; SS-17-05: Interactive Multisensory Object Perception for Embodied Agents; SS-17-06: Learning from Observation of Humans; SS-17-07: Science of Intelligence: Computational Principles of Natural and Artificial Intelligence; SS-17-08: Wellbeing AI: From Machine Learning to Subjectivity Oriented Computing. AI Access Foundation, Vol. SS-17-01 - SS-17-08. p. 351-353 3 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Circuit theory
Electric network analysis