We will deviate from the usual reading notes.
You choose 3 papers below, but instead of the usual paper review you will focus on the following:
(everyone has to read this)
(mandatory if you choose this as your expertise topic)
Ren, Zhaochun, et al. “Personalized time-aware tweets summarization.” Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval. ACM, 2013. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.682.4986&rep=rep1&type=pdf
Hasibi, Faegheh, Krisztian Balog, and Svein Erik Bratsberg. “Dynamic Factual Summaries for Entity Cards.” Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, 2017. http://hasibi.com/files/sigir2017-dynes.pdf
Becker, Hila, Mor Naaman, and Luis Gravano. “Beyond Trending Topics: Real-World Event Identification on Twitter.” Icwsm 11.2011 (2011): 438-441. http://web2.cs.columbia.edu/~gravano/Papers/2010/wsdm10.pdf
Shahaf, Dafna, et al. “Information cartography.” Communications of the ACM 58.11 (2015): 62-73. https://www-cs-faculty.stanford.edu/people/jure/pubs/cartography-cacm15.pdf (There exist also related research papers)
Jonathan Stray. Network Analysis in Journalism: Practices and Possibilities. Workshop for Data Science + Journalism at KDD 2017 https://drive.google.com/file/d/0B8CcT_0LwJ8QMzFjTWxLSFVkVTg/view
Boyd-Graber, Jordan, et al. “Besting the quiz master: Crowdsourcing incremental classification games.” Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning. Association for Computational Linguistics, 2012. http://www.cs.colorado.edu/~jbg/docs/qb_emnlp_2012.pdf
Aghaebrahimian, Ahmad, and Filip Jurčíček. “Open-domain factoid question answering via knowledge graph search.” Proceedings of the Workshop on Human-Computer Question Answering. 2016. http://www.aclweb.org/anthology/W16-0104
O’Connor, Brendan, et al. “From tweets to polls: Linking text sentiment to public opinion time series.” Icwsm 11.122-129 (2010): 1-2. https://www.aaai.org/ocs/index.php/ICWSM/ICWSM10/paper/viewFile/1536/1842
Stier, Sebastian, et al. “Election campaigning on social media: Politicians, audiences and the mediation of political communication on Facebook and Twitter.” https://hannover2017.ipsa.org/sites/hannover2017.ipsa.oarg/files/2017-11/2017_Hannover_Paper_Stier_Sebastian.pdf
Elshehawy, Ashrakat, Nikolay Marinov, and Federico Nanni. “Quantifying Attention to Foreign Elections with Text Analysis of US Congress and the Presidency.” (2017). https://poseidon01.ssrn.com/delivery.php?ID=448116089123103088104064120121103081056087054032028010066007109074002100073008121030002122118022114055124102016119087102127072014010033010014097101070089076083083095040021049071069096002071001011083007122023123077025027004010127098101066026111089113095&EXT=pdf
Konovalov, Alexander, et al. “Learning to Extract Events from Knowledge Base Revisions.” Proceedings of the 26th International Conference on World Wide Web. International World Wide Web Conferences Steering Committee, 2017. https://pdfs.semanticscholar.org/238b/d48bba0b9bf291df29c15949e6ec9ba65a10.pdf