Publications

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Segal, Z., & Soffer, O. (2021). One Journal, One Decade, 3,797,592 Words: Computational Analysis of HaTzfira’s Discourse (1874–1883). Journal of Jewish Studies, 72(2), 369–396.

DOI: https://doi.org/10.18647/3508/jjs-2021

Segal, Z. M. (2021). Periodicals in Motion: Textual Reuse and the Hebrew Journalistic Networks in the second half of the 19th century. EADH2021 conference Siberian Federal University, Krasnoyarsk, Russia, 21-25 September 2021.

Segal, Z. M., & Soffer, O. (2020). From Weekly to Daily: Computational Analysis of Periodical Time Cycles. Journalism Studies, 1-21. https://doi.org/10.1080/1461670X.2020.1807394

Bareket, D., & Tsarfaty, R. (2020). Neural Modeling for Named Entities and Morphology (NEMO^2). Computation and Language (cs.CL). https://arxiv.org/abs/2007.15620

Soffer O., Segal Z., Greidinger N., Rusinek S., Silber-Varod V. (2019). Computational Analysis of Historical Hebrew Newspapers: Proof of Concept. Zutot, 17(1), 97-110.

https://doi.org/10.1163/18750214-12171087

Segal, Z., Silber-Varod, V., Greidingher, N., & Oren Soffer, O. (2019). Computational Analysis of Historical Hebrew Newspapers: Affordances and Restrictions. The Joint Journalism and Communication History Conference (JJCHC), March 9, 2019, NYU Arthur L. Carter Journalism Institute, USA.

Silber-Varod, V., Winer, A., & Geri, N. (2016). Opening the Knowledge Dam: Speech Recognition for Video Search. Journal of Computer Information Systems, 57(2), 106-111. https://doi.org/10.1080/08874417.2016.1183423

HCI/CMC/Data analytics

Niebuhr, O. & Silber-Varod, V. (2022). How versatility performance influences perception of charismatic speech – A study on two Israeli politicians. In: Fischer, K. & Haap, J. (Eds.), What Influences Influence? How the Communicative Situation Influences Persuasion, Special Issue of Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems, volume 22 issue 3, pp. 303-342. https://doi.org/10.1075/is.00007.nie

Weiser, O., Kalman, Y.M., Kent, C. & Ravid, G. (accepted). 65 Competencies: Which Ones Should Your Data Analytics Experts Have? Communications of the ACM. DOI: http://dx.doi.org/10.1145/3467018

Kalman, Y. M., Ballard, D. I., & Aguilar, A. M. (OnlineFirst). Chronemic urgency in everyday digital communication. Time & Society. [open access <https://doi.org/10.1177/0961463X20987721>]

Lerner, A., Silber-Varod, V., Carmi, N., Guttel, Y., & Allouche Omri (2020). Modeling the dynamics of acoustic gaps between speakers during Business-to-Business sales calls. International Journal of Big Data Intelligence (IJBDI). DOI: 10.1504/IJBDI.2020.10036389

Rabin E., Henderikx M., Kalman Y.M. & Kalz M. (2020). What are the barriers to learners’ satisfaction in MOOCs and what predicts them? The role of age, intention, self-regulation, self-efficacy and motivation. Australasian Journal of Educational Technology, 36(3), 119–131. [https://doi.org/10.14742/ajet.5919]

Siegert, I., Silber-Varod, V., Carmi, N., & Kamocki, P. (2020). Personal Data protection and academia: GDPR issues and multi-modal data-collections "in the wild"”. The Online Journal of Applied Knowledge Management (OJAKM), 8(1): 16-31. https://doi.org/10.36965/OJAKM.2020.8(1)16-31

Silber-Varod, V., Malayev, S., & Lerner, A. (2020). Positioning Oneself in Different Roles: Structural and Lexical Measures of Power Relations between Speakers in Map Task Corpus. Speech Communication, 117: 1-12. https://doi.org/10.1016/j.specom.2020.01.002

Rabin, E., Silber-Varod, V., Kalman, Y.M. & Kalz, M. (2019). Identifying learning activity sequences that are associated with high intention-fulfillment in MOOCs. European Conference on Technology Enhanced Learning (EC-TEL 2019): Transforming Learning with Meaningful Technologies. Lecture Notes in Computer Science (pp 224-235). [https://link.springer.com/chapter/10.1007%2F978-3-030-29736-7_17]

Rabin, E., Kalman, Y.M. & Kalz, M. (2019). The cathedral’s ivory tower and the open education bazaar –catalyzing innovation in the higher education sector. Open Learning: The Journal of Open and Distance Learning. [https://doi.org/10.1080/02680513.2019.1662285]

Rabin, E., Kalman, Y.M., & Kalz, M. (2019). An Empirical Investigation of the Antecedents of Learner-Centered Outcome Measures in MOOCs. International Journal of Educational Technology in Higher Education 16 (1), 14. [https://doi.org/10.1186/s41239-019-0144-3]

Silber-Varod, V. (2018). Is human-human spoken interaction manageable? The emergence of the concept Conversation Intelligence. Online Journal of Applied Knowledge Management (OJAKM). A Publication of the International Institute for Applied Knowledge Management, Volume 6, Issue 1, pp. 1-14. http://www.iiakm.org/ojakm/articles/2018/OJAKM_Volume6_1pp1-14.php

Weiser, O., Kalman, Y.M., Kent, C. & Ravid, G. (2018, April 6). A Delphi Study of Competencies and Skills for Data Analytics (WIP). Paper presented at Information Systems Education Conference (ISECON) (pp. 126-129), San Antonio, Texas: Foundation for IT Education.

Web archiving

Ben-David, A. (2020). Counter-archiving Facebook. European Journal of Communication, https://doi.org/10.1177%2F0267323120922069

Ben-David, A. (2019). 2014 not found: a cross-platform approach to retrospective web archiving. Internet Histories, 3(3-4), 316-342. https://doi.org/10.1080/24701475.2019.1654290

Ben-David, A. & Amram, A. (2019). Chapter 12: Computational Methods for Web History. In: Brügger, N., & Milligan, I. (Eds.). The SAGE Handbook of Web History (pp. 153-167). SAGE Publications Limited.

Stevenson, M., & Ben-David, A. (2019). Chapter 10: Network Analysis for Web History. In: Brügger, N., & Milligan, I. (Eds.). The SAGE Handbook of Web History (pp. 125-137). SAGE Publications Limited.

Ben-David, A.(2019) National Web Histories at the fringe of the Web: Palestine, Kosovo, and the quest for online self-determination. In: Brügger, N., & Laursen, D. (Eds.). The Historical Web and Digital Humanities: The Case of National Web Domains. Routledge. pp. 89—109.

Ben-David, A., Amram, A., & Bekkerman, R. (2016). The colors of the national Web: visual data analysis of the historical Yugoslav Web domain. International Journal on Digital Libraries, 19(1), 95-106. https://link.springer.com/article/10.1007/s00799-016-0202-6

Social media

Gordoni, G., & Soffer, O. (2021, February 5). Understanding intent, behavior and emotion in user comments. SocArXiv. https://doi.org/10.31235/osf.io/bfu4t

Soffer, O., & Gordoni, G. (2020). The Role of User Comments in Estimation of the Public Opinion Climate and Perceived Support for One’s Opinion. International Journal of Public Opinion Research, 32(3), 569-585.

Amram, A., Ben-David, A., & Tsarfaty, R. (2018). Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew. The 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, NM.

Ben-David, A., & Soffer, O. (2018). User comments across platforms and journalistic genres. Information, Communication & Society, 22(12), 1810-1829. https://doi.org/10.1080/1369118X.2018.1468919

Ben, David, A. & Amram, A. (2018). The Internet Archive and the Socio-Technical Construction of Historical Facts. Internet Histories, 2(1-2), 179-201. doi: 10.1080/24701475.2018.1455412

Soffer, O., & Gordoni, G. (2018). To Post or not to Post? Anonymous user comments in the Israeli journalistic sphere. Journalism Studies, 19(10), 1390-1408.

https://doi.org/10.1080/1461670X.2017.1279027

Soffer, O., & Gordoni, G. (2018). Opinion expression via user comments on news websites: Analysis through the perspective of the spiral of silence. Information, communication & society, 21(3), 388-403. https://doi.org/10.1080/1369118X.2017.1281991

Barzilay, A., & Ben-David, A. (2017) Platform Inequality: Gender in the Gig-Economy. Seton Hall Law Review, 47(2), Article 2.

Selected Publications