Publication News

Yeeeha, our paper “Sorry, I was hacked”—A Classification of Compromised Twitter Accounts has been accepted at the ACM Symposium on Applied Computing 🙂 In particular, it has been accepted for the Social Network and Media Analysis (SONAMA) track. Our work features an analysis of Twitter whose Twitter accounts have been compromised and it aims at analysing how users deal with this account comprimising. I’m really looking forward to presenting our work at Dongguk University, Gyeongju, Korea. If you are interested in this work, I just uploaded the pdf to the publications section or contact me 🙂

Our two journal articles (finally) have been published too. The first article elaborates on how to support and guide users during collaborative content creation at the Journal on Future Generation Computer Systems (impact factor 1.978). The second article is about how text similarity measures influence the quality of hashtag recommendations for tweets and is published in Springer’s Social Network Analysis and Mining Journal.

Furthermore, my dissertation has been featured in Datenbank-Spektrum, the Journal of  the German Computer Society.

  • [DOI] E. Zangerle, “Dissertationen: Leveraging Recommender Systems for the Creation and Maintenance of Structure within Collaborative Social Media Platforms,” Datenbank-Spektrum, vol. 13, iss. 3, p. 239, 2013.
    [Bibtex]
    @article{dbspektrum,
    title = {Dissertationen: Leveraging Recommender Systems for the Creation and Maintenance of Structure within Collaborative Social Media Platforms},
    author = {Zangerle, Eva},
    journal = {Datenbank-Spektrum},
    volume = {13},
    number = {3},
    year = {2013},
    pages = {239},
    doi = {10.1007/s13222-013-0138-6},
    }
  • [PDF] [DOI] E. Zangerle, W. Gassler, and G. Specht, “On the impact of text similarity functions on hashtag recommendations in microblogging environments,” Social Network Analysis and Mining, vol. 3, iss. 4, pp. 889-898, 2013.
    [Bibtex]
    @article{snam,
    year={2013},
    issn={1869-5450},
    journal={Social Network Analysis and Mining},
    volume={3},
    number={4},
    doi={10.1007/s13278-013-0108-x},
    title={On the impact of text similarity functions on hashtag recommendations in microblogging environments},
    url={http://dx.doi.org/10.1007/s13278-013-0108-x},
    publisher={Springer Vienna},
    author={Zangerle, Eva and Gassler, Wolfgang and Specht, G\"unther},
    pages={889-898},
    language={English},
    note = {(The final publication is available at link.springer.com.)}
    }
  • [PDF] E. Zangerle and G. Specht, ““Sorry, I was hacked"—A Classification of Compromised Twitter Accounts,” in Proceedings of the 29th ACM Symposium on Applied Computing, Gyeongju, Korea, 2014, pp. 587-593.
    [Bibtex]
    @inproceedings{sac14,
    author = {Zangerle, Eva and Specht, G\"unther},
    title = {{“Sorry, I was hacked"---A Classification of Compromised Twitter Accounts}},
    publisher = {ACM},
    year = {2014},
    booktitle = {Proceedings of the 29th ACM Symposium on Applied Computing},
    address = {Gyeongju, Korea},
    pages = {587--593}
    }
  • [DOI] W. Gassler, E. Zangerle, and G. Specht, “Guided Curation of Semistructured Data in Collaboratively-built Knowledge Bases,” Journal on Future Generation Computer Systems, vol. 31, pp. 111-119, 2014.
    [Bibtex]
    @article{fgcs,
    author = {Gassler, Wolfgang and Zangerle, Eva and Specht, G\"unther},
    title = {{Guided Curation of Semistructured Data in Collaboratively-built Knowledge Bases}},
    journal = {Journal on Future Generation Computer Systems},
    publisher = {Elsevier Science Publishers},
    year = {2014},
    note = {impact factor 1.978.},
    url = {http://www.sciencedirect.com/science/article/pii/S0167739X13001076},
    pages = {111-119},
    volume = {31},
    doi = {10.1016/j.future.2013.05.008},
    }