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Iadh Ounis

Datos Biográficos

ID1069307
NOMBREIadh Ounis
NOMBRESIadh
APELLIDOOunis
FIRMAOUNIS I
AFILIACIONESUniversity of Glasgow
ORCID0000-0003-4701-3223
VERIFICADOSí
TOTAL DE OBRAS2
TOTAL DE CITAS9
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2019
AÑO MÁS RECIENTE DE PUBLICACIÓN2021
ÍNDICE H2
  • We need to go deeper: Measuring Electoral Violence Using Convolutional Neural Networks and Social Media

    Open Access•David Muchlinski, Xiao Yang et al.•ARTICLE•Political Science Research and…•2021•Citada por: 7•Referencias: 40

    Electoral violence is conceived of as violence that occurs contemporaneously with elections, and as violence that would not have occurred in the absence of an election. While measuring the temporal aspect of this phenomenon is straightforward, measuring whether occurrences of violence are truly related to elections is more difficult. Using machine learning, we measure electoral violence across three elections using disaggregated reporting in soci…

  • Votes on Twitter: Assessing Candidate Preferences and Topics of Discussion During the 2016 U.S. Presidential Election

    Open Access•Anjie Fang, Philip Habel et al.•ARTICLE•SAGE Open•2019•Citada por: 2•Referencias: 7

    Social media offers scholars new and innovative ways of understanding public opinion, including citizens’ prospective votes in elections and referenda. We classify social media users’ preferences over the two U.S. presidential candidates in the 2016 election using Twitter data and explore the topics of conversation among proClinton and proTrump supporters. We take advantage of hashtags that signaled users’ vote preferences to train our machine le…

  • We need to go deeper: Measuring Electoral Violence Using Convolutional Neural Networks and Social Media

    Open Access•David Muchlinski, Xiao Yang et al.•ARTICLE•Political Science Research and…•2021•Citada por: 7•Referencias: 40

    Electoral violence is conceived of as violence that occurs contemporaneously with elections, and as violence that would not have occurred in the absence of an election. While measuring the temporal aspect of this phenomenon is straightforward, measuring whether occurrences of violence are truly related to elections is more difficult. Using machine learning, we measure electoral violence across three elections using disaggregated reporting in soci…

  • Votes on Twitter: Assessing Candidate Preferences and Topics of Discussion During the 2016 U.S. Presidential Election

    Open Access•Anjie Fang, Philip Habel et al.•ARTICLE•SAGE Open•2019•Citada por: 2•Referencias: 7

    Social media offers scholars new and innovative ways of understanding public opinion, including citizens’ prospective votes in elections and referenda. We classify social media users’ preferences over the two U.S. presidential candidates in the 2016 election using Twitter data and explore the topics of conversation among proClinton and proTrump supporters. We take advantage of hashtags that signaled users’ vote preferences to train our machine le…

  • Votes on Twitter: Assessing Candidate Preferences and Topics of Discussion During the 2016 U.S. Presidential Election

    Open Access•Anjie Fang, Philip Habel et al.•ARTICLE•SAGE Open•2019•Citada por: 2•Referencias: 7

    Social media offers scholars new and innovative ways of understanding public opinion, including citizens’ prospective votes in elections and referenda. We classify social media users’ preferences over the two U.S. presidential candidates in the 2016 election using Twitter data and explore the topics of conversation among proClinton and proTrump supporters. We take advantage of hashtags that signaled users’ vote preferences to train our machine le…

  • We need to go deeper: Measuring Electoral Violence Using Convolutional Neural Networks and Social Media

    Open Access•David Muchlinski, Xiao Yang et al.•ARTICLE•Political Science Research and…•2021•Citada por: 7•Referencias: 40

    Electoral violence is conceived of as violence that occurs contemporaneously with elections, and as violence that would not have occurred in the absence of an election. While measuring the temporal aspect of this phenomenon is straightforward, measuring whether occurrences of violence are truly related to elections is more difficult. Using machine learning, we measure electoral violence across three elections using disaggregated reporting in soci…

Computer Science (2 obras) · Political science (2 obras) · Social media (2 obras) · Artificial Intelligence (1 obras) · Classifier (UML (1 obras) · Coding (social sciences (1 obras) · Conversation (1 obras) · Criminology (1 obras) · Data mining (1 obras) · Electoral Systems and Political Participation (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae