TY - JOUR
T1 - Language agnostic meme-filtering for hashtag-based social network analysis
AU - Kotsakos, Dimitrios
AU - Sakkos, Panos
AU - Katakis, Ioannis
AU - Gunopulos, Dimitrios
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Users in social networks utilize hashtags for a variety of reasons. In many cases, hashtags serve retrieval purposes by labeling the content they accompany. More often than not, hashtags are used to promote content, ideas, or conversations producing viral memes. This paper addresses a specific case of hashtag classification: meme-filtering. We argue that hashtags that are correlated with memes may hinder many valuable social media algorithms like trend detection and event identification. We propose and evaluate a set of language-agnostic features that aid the separation of these two classes: meme-hashtags and event-hashtags. The proposed approach is evaluated on two large datasets of Twitter messages written in English and German. A proof-of-concept application of the meme-filtering approach to the problem of event detection is presented.
AB - Users in social networks utilize hashtags for a variety of reasons. In many cases, hashtags serve retrieval purposes by labeling the content they accompany. More often than not, hashtags are used to promote content, ideas, or conversations producing viral memes. This paper addresses a specific case of hashtag classification: meme-filtering. We argue that hashtags that are correlated with memes may hinder many valuable social media algorithms like trend detection and event identification. We propose and evaluate a set of language-agnostic features that aid the separation of these two classes: meme-hashtags and event-hashtags. The proposed approach is evaluated on two large datasets of Twitter messages written in English and German. A proof-of-concept application of the meme-filtering approach to the problem of event detection is presented.
UR - http://www.scopus.com/inward/record.url?scp=84947221283&partnerID=8YFLogxK
U2 - 10.1007/s13278-015-0271-3
DO - 10.1007/s13278-015-0271-3
M3 - Article
AN - SCOPUS:84947221283
SN - 1869-5450
VL - 5
SP - 1
EP - 14
JO - Social Network Analysis and Mining
JF - Social Network Analysis and Mining
IS - 1
M1 - 28
ER -