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<titleInfo><title>Towards Real-Time and Unsupervised Campaign Detection in Social Media</title></titleInfo>





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  <namePart type="given">D</namePart>
  <namePart type="family">Assenmacher</namePart>
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  <namePart type="given">L</namePart>
  <namePart type="family">Adam</namePart>
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  <namePart type="given">Heike</namePart>
  <namePart type="family">Trautmann</namePart>
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<abstract lang="eng">The detection of orchestrated and potentially manipulative campaigns in social media is far more meaningful than an- alyzing single account behaviour but also more challenging in terms of pattern recognition, data processing, and com- putational complexity. While supervised learning methods need an enormous amount of reliable ground truth data to find rather inflexible patterns, classical unsupervised learn- ing techniques need a lot of computational power to handle large amount of data. This makes them infeasible for real- time analysis. In this work, we demonstrate the applicability of text stream clustering for the real-time detection of coordi- nated campaigns.</abstract>

<originInfo><dateIssued encoding="w3cdtf">2020</dateIssued>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<relatedItem type="host"><titleInfo><title>Proceedings of the Florida Artificial Intelligence Research Society Conference</title></titleInfo>
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<chicago>Assenmacher, D, L Adam, Heike Trautmann, and C Grimme. “Towards Real-Time and Unsupervised Campaign Detection in Social Media.” In &lt;i&gt;Proceedings of the Florida Artificial Intelligence Research Society Conference&lt;/i&gt;. Florida, USA, 2020.</chicago>
<ieee>D. Assenmacher, L. Adam, H. Trautmann, and C. Grimme, “Towards Real-Time and Unsupervised Campaign Detection in Social Media,” 2020.</ieee>
<ama>Assenmacher D, Adam L, Trautmann H, Grimme C. Towards Real-Time and Unsupervised Campaign Detection in Social Media. In: &lt;i&gt;Proceedings of the Florida Artificial Intelligence Research Society Conference&lt;/i&gt;. ; 2020.</ama>
<mla>Assenmacher, D., et al. “Towards Real-Time and Unsupervised Campaign Detection in Social Media.” &lt;i&gt;Proceedings of the Florida Artificial Intelligence Research Society Conference&lt;/i&gt;, 2020.</mla>
<short>D. Assenmacher, L. Adam, H. Trautmann, C. Grimme, in: Proceedings of the Florida Artificial Intelligence Research Society Conference, Florida, USA, 2020.</short>
<bibtex>@inproceedings{Assenmacher_Adam_Trautmann_Grimme_2020, place={Florida, USA}, title={Towards Real-Time and Unsupervised Campaign Detection in Social Media}, booktitle={Proceedings of the Florida Artificial Intelligence Research Society Conference}, author={Assenmacher, D and Adam, L and Trautmann, Heike and Grimme, C}, year={2020} }</bibtex>
<apa>Assenmacher, D., Adam, L., Trautmann, H., &amp;#38; Grimme, C. (2020). Towards Real-Time and Unsupervised Campaign Detection in Social Media. &lt;i&gt;Proceedings of the Florida Artificial Intelligence Research Society Conference&lt;/i&gt;.</apa>
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