Kuvaus
| Alkuperäiskieli | englanti |
|---|---|
| Sivut | 141-153 |
| Sivumäärä | 13 |
| DOI - pysyväislinkit | |
| Tila | Julkaistu - 2018 |
| Tapahtuma | Dagstuhl Seminar 17301: July 23 – 28, 2017 - Schloss Dagstuhl, Daghstuhl, Saksa Kesto: 23 heinäkuuta 2017 → 28 heinäkuuta 2017 https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=17301 |
Konferenssi
| Konferenssi | Dagstuhl Seminar 17301 |
|---|---|
| Maa | Saksa |
| Kaupunki | Daghstuhl |
| Ajanjakso | 23/07/2017 → 28/07/2017 |
| www-osoite |
Tieteenalat
- 6121 Kielitieteet
- 213 Sähkö-, automaatio- ja tietoliikennetekniikka, elektroniikka
Lainaa tätä
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Rethinking Summarization and Storytelling for Modern Social Multimedia. / Rudinac, Stevan; Chua, Tat-Seng; Diaz-Ferreyra, Nicolas; Friedland, Gerald; Gornostaja, Tatjana; Huet, Benoit; Kaptein, Rianne; Linden, Krister; Moens, Marie-Francine; Peltonen, Jaakko; Redi, Miriam; Schedl, Markus; Shamma, David A.; Smeaton, Alan; Xie, Lexing.
2018. 141-153 Dagstuhl Seminar 17301, Daghstuhl, Saksa.Tutkimustuotos: Konferenssimateriaalit › Muu konferenssimateriaali › Tutkimus
TY - CONF
T1 - Rethinking Summarization and Storytelling for Modern Social Multimedia
AU - Rudinac, Stevan
AU - Chua, Tat-Seng
AU - Diaz-Ferreyra, Nicolas
AU - Friedland, Gerald
AU - Gornostaja, Tatjana
AU - Huet, Benoit
AU - Kaptein, Rianne
AU - Linden, Krister
AU - Moens, Marie-Francine
AU - Peltonen, Jaakko
AU - Redi, Miriam
AU - Schedl, Markus
AU - Shamma, David A.
AU - Smeaton, Alan
AU - Xie, Lexing
N1 - Working group discussion at the Schloss Dagstuhl seminar
PY - 2018
Y1 - 2018
N2 - This report documents the program and the outcomes of Dagstuhl Seminar 17301 "User-Generated Content in Social Media". Social media have a profound impact on individuals, businesses, and society. As users post vast amounts of text and multimedia content every minute, the analysis of this user generated content (UGC) can offer insights to individual and societal concerns and could be beneficial to a wide range of applications. In this seminar, we brought together researchers from different subfields of computer science, such as information retrieval, multimedia, natural language processing, machine learning and social media analytics. We discussed the specific properties of UGC, the general research tasks currently operating on this type of content, identifying their limitations, and imagining new types of applications. We formed two working groups, WG1 "Fake News and Credibility", WG2 "Summarizing and Story Telling from UGC". WG1 invented an "Information Nutrition Label" that characterizes a document by different features such as e.g. emotion, opinion, controversy, and topicality; For computing these feature values, available methods and open research issues were identified. WG2 developed a framework for summarizing heterogeneous, multilingual and multimodal data, discussed key challenges and applications of this framework.
AB - This report documents the program and the outcomes of Dagstuhl Seminar 17301 "User-Generated Content in Social Media". Social media have a profound impact on individuals, businesses, and society. As users post vast amounts of text and multimedia content every minute, the analysis of this user generated content (UGC) can offer insights to individual and societal concerns and could be beneficial to a wide range of applications. In this seminar, we brought together researchers from different subfields of computer science, such as information retrieval, multimedia, natural language processing, machine learning and social media analytics. We discussed the specific properties of UGC, the general research tasks currently operating on this type of content, identifying their limitations, and imagining new types of applications. We formed two working groups, WG1 "Fake News and Credibility", WG2 "Summarizing and Story Telling from UGC". WG1 invented an "Information Nutrition Label" that characterizes a document by different features such as e.g. emotion, opinion, controversy, and topicality; For computing these feature values, available methods and open research issues were identified. WG2 developed a framework for summarizing heterogeneous, multilingual and multimodal data, discussed key challenges and applications of this framework.
KW - 6121 Languages
KW - 213 Electronic, automation and communications engineering, electronics
KW - social media
KW - user-generated content
KW - social multimedia
KW - summarisation
KW - fake-news
KW - AI
KW - credibility
KW - storytelling
U2 - 10.4230/DagRep.7.7.110
DO - 10.4230/DagRep.7.7.110
M3 - Other conference material
SP - 141
EP - 153
ER -