Computational Human Behavior | Osnat (Ossi) Mokryn

People leave rich traces in the language they write and the interactions they choose, and those traces reveal who they are and how they behave. I develop computational methods that read these signals: modeling individuals and populations from sparse, high-dimensional behavioral data, extracting emotion and cognition from user-generated content, identifying authors from their linguistic fingerprints, and tracing how reputation and influence take shape in social media. This connects user modeling and recommendation with information-theoretic representation — a principled way to characterize human behavior, and to catch the subtle shifts that mark a change in a person or a community.

Selected work: determining films’ evoked emotional experience from online reviews (Mokryn et al., 2020); the Movie Emotion Map (Cohen-Kalaf et al., 2022); cross-platform analysis of review usefulness (Mokryn, 2020); and inferring purchase intent from anonymous sessions (Mokryn et al., 2019).

References

2022

MTAP

Movie Emotion Map: An Interactive Tool for Exploring Movies According to their Emotional Signature

Miki Cohen-Kalaf, Joel Lanir, Peter Bak, and 1 more author

Multimedia Tools and Applications, 2022

Bib

@article{cohenkalaf2022movie,
  title = {Movie Emotion Map: An Interactive Tool for Exploring Movies According to their Emotional Signature},
  author = {Cohen-Kalaf, Miki and Lanir, Joel and Bak, Peter and Mokryn, Osnat},
  journal = {Multimedia Tools and Applications},
  volume = {81},
  number = {11},
  pages = {14663--14684},
  year = {2022}
}

2020

IR J.

Sharing Emotions: Determining Films’ Evoked Emotional Experience from their Online Reviews

Osnat Mokryn, David Bodoff, Nadim Bader, and 2 more authors

Information Retrieval Journal, 2020

Best Research Paper Award, Israel Association for Information Systems (ILAIS), 2022

Bib

@article{mokryn2020sharing,
  title = {Sharing Emotions: Determining Films' Evoked Emotional Experience from their Online Reviews},
  author = {Mokryn, Osnat and Bodoff, David and Bader, Nadim and Albo, Yael and Lanir, Joel},
  journal = {Information Retrieval Journal},
  volume = {23},
  number = {5},
  pages = {475--501},
  year = {2020},
  note = {Best Research Paper Award, Israel Association for Information Systems (ILAIS), 2022}
}

OSNEM

The Opinions of a Few: A Cross-Platform Study Quantifying Usefulness of Reviews

Osnat Mokryn

Online Social Networks and Media, 2020

Bib

@article{mokryn2020opinions,
  title = {The Opinions of a Few: A Cross-Platform Study Quantifying Usefulness of Reviews},
  author = {Mokryn, Osnat},
  journal = {Online Social Networks and Media},
  volume = {18},
  pages = {100080},
  year = {2020}
}

2019

ECRA

Will This Session End with a Purchase? Inferring Current Purchase Intent of Anonymous Visitors

Osnat Mokryn, Veronika Bogina, and Tsvi Kuflik

Electronic Commerce Research and Applications, 2019

Bib

@article{mokryn2019session,
  title = {Will This Session End with a Purchase? Inferring Current Purchase Intent of Anonymous Visitors},
  author = {Mokryn, Osnat and Bogina, Veronika and Kuflik, Tsvi},
  journal = {Electronic Commerce Research and Applications},
  volume = {34},
  pages = {100836},
  year = {2019}
}