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Identifying content for planned events across social media sites

Hila Becker, Dan Iter, Mor Naaman, Luis Gravano
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
We use these features to develop query formulation strategies for retrieving content associated with an event on different social media sites.  ...  We apply our strategies to a large set of user-contributed events, and analyze their effectiveness in retrieving relevant event content from Twitter, YouTube, and Flickr.  ...  Research on extracting high-quality information from social media [1, 16] and on summarizing or otherwise presenting Twitter event content [11, 19, 23] has gathered recent attention.  ... 
doi:10.1145/2124295.2124360 dblp:conf/wsdm/BeckerING12 fatcat:3lnp3zvrlrgdpi2sfr4wlvr3gm

Credibility ranking of tweets during high impact events

Aditi Gupta, Ponnurangam Kumaraguru
2012 Proceedings of the 1st Workshop on Privacy and Security in Online Social Media - PSOSM '12  
Events in the real world create a corresponding spur of posts (tweets) on Twitter. Not all content posted on Twitter is trustworthy or useful in providing information about the event.  ...  Twitter has evolved from being a conversation or opinion sharing medium among friends into a platform to share and disseminate information about current events.  ...  To ensure that we select events with high impact and relevance, we applied following minimum criterion for selecting an event for analysis: • An event which had minimum of 25,000 tweets were considered  ... 
doi:10.1145/2185354.2185356 fatcat:vjue6xksd5cbxp56idst55jwdu

Personalized and automatic social summarization of events in video

John Hannon, Kevin McCarthy, James Lynch, Barry Smyth
2011 Proceedings of the 15th international conference on Intelligent user interfaces - IUI '11  
ABSTRACT Social services like Twitter are increasingly used to provide a conversational backdrop to real-world events in real-time.  ...  In this paper, we look at using these time-stamped opinions as the basis for generating video highlights for these soccer matches.  ...  For example, obviously enough, poor queries by the user limited the quality of the personalized summary because important events could be missed.  ... 
doi:10.1145/1943403.1943459 dblp:conf/iui/HannonMLS11 fatcat:gqlqwocbqfdrdhfd4gityxy6sq

Topical anomaly detection from Twitter stream

Pramod Anantharam, Krishnaprasad Thirunarayan, Amit Sheth
2012 Proceedings of the 3rd Annual ACM Web Science Conference on - WebSci '12  
In this paper, we spot topically anomalous tweets in twitter streams by analyzing the content of the document pointed to by the URLs in the tweets in preference to their textual content.  ...  Our approach avoids the need for labeled samples by selecting documents from reliable sources gleaned from the URLs present in the tweets.  ...  ACKNOWLEDGMENTS We thank the twitris team ( for providing data for our evaluations. We thank Wenbo Wang, Lu  ... 
doi:10.1145/2380718.2380720 dblp:conf/websci/AnantharamTS12 fatcat:mc4lpyx4lnevdbnlbdi43dttau

A Method for Composing Ad-hoc Following Networks on Twitter for Sharing Information among Event Participants

Shingo Tajima, Taketoshi Ushiama.
2013 International Journal of Asia Digital Art and Design Association  
In this paper, we propose a method for composing ad-hoc following networks automatically among users who are attending the same event for sharing information about it.  ...  On the other hand, it often happens that users want information about an event such as festival or sport game when they are attending it.  ...  The contents of questionnaires are, "If you are attending the event and you want information about the event, do you think the tweet is informative or not?  ... 
doi:10.20668/adada.17.4_119 fatcat:6sgbf55mvjd5lphvsemtaa5xca

Evaluating Amharic Machine Translation [article]

Asmelash Teka Hadgu, Adam Beaudoin, Abel Aregawi
2020 arXiv   pre-print
In this paper, we develop and share a dataset to automatically evaluate the quality of MT systems for Amharic.  ...  Machine translation (MT) systems are now able to provide very accurate results for high resource language pairs. However, for many low resource languages, MT is still under active research.  ...  We then randomly selected sentences for translation by humans. • Twitter: We collected Amharic tweets by searching for Amharic stop-words using Hadgu & Jschke (2019) a wrapper around the Twitter advanced  ... 
arXiv:2003.14386v1 fatcat:56cxmmonnzfulkhajbd6e2fa6a

Twitter as Popular Journalistic Platform – Similarities and Differences Between Jutarnji List and Večernji List

Leali Osmančević
2016 Communication Management Review  
The article deals with Twitter as a popular platform for media and journalists.  ...  and media content as well as connect with their audience on a daily basis.  ...  The disadvantages of using Twitter in journalism are mostly related to the quality of selection of information and selection of sources that ultimately affect the credibility of the media content.  ... 
doi:10.22522/cmr20160213 fatcat:4i3eqhmbtvhpzda6rlm3hnew7q

Identifying and characterizing user communities on Twitter during crisis events

Aditi Gupta, Anupam Joshi, Ponnurangam Kumaraguru
2012 Proceedings of the 2012 workshop on Data-driven user behavioral modelling and mining from social media - DUBMMSM '12  
Previous research has shown that current real world news topics and events dominate the discussions on Twitter.  ...  In this paper, we present a preliminary study to identify and characterize communities from a set of users who post messages on Twitter during crisis events.  ...  Clustering Evaluation For evaluating the quality of clusters obtained by spectral clustering, we computed the modularity score for each of the three events.  ... 
doi:10.1145/2390131.2390142 dblp:conf/cikm/0003JK12 fatcat:a223gxkpzjhedczksbmfyha3ue

Twitter Topic Summarization by Ranking Tweets using Social Influence and Content Quality

Yajuan Duan, Zhimin Chen, Furu Wei, Ming Zhou, Heung-Yeung Shum
2012 International Conference on Computational Linguistics  
In this paper, we propose a time-line based framework for topic summarization in Twitter. We summarize topics by sub-topics along time line to fully capture rapid topic evolution in Twitter.  ...  Moreover, we show how the content quality of tweets and the social influence of users effectively improve the performance of measuring the salience of tweets.  ...  We randomly select 3,000 tweets from an additional tweet corpus for content quality training and evaluation. One of two labels, H(high quality) and L(low quality), are assigned to every tweet.  ... 
dblp:conf/coling/DuanCWZS12 fatcat:3xrosqbjlzhnznfv3vvxmjaxna

A Benchmark of Visual Storytelling in Social Media

Gonçalo Marcelino, David Semedo, André Mourão, Saverio Blasi, Marta Mrak, Joao Magalhaes
2019 Proceedings of the 2019 on International Conference on Multimedia Retrieval - ICMR '19  
To tackle these issues, this paper proposes a benchmark for assessing social media visual storylines.  ...  Automated news visual storyline editing with social media content can be very challenging, as it not only entails the task of finding the right content but also making sure that news content evolves coherently  ...  Thus, a curated list of keywords was manually selected for each event.  ... 
doi:10.1145/3323873.3325047 dblp:conf/mir/MarcelinoSMBMM19 fatcat:bqkhu44t2nhhxcc26iswz7xdiu

Bootstrapping Web Archive Collections of Stories from Micro-collections in Social Media

Alexander C. Nwala
2019 Bulletin of IEEE Technical Committee on Digital Libraries  
This potentially limits the number of collections generated for important newsworthy events.  ...  Archive-It collections of archived web pages provide a critical source of information for studying important historical events ranging from social movements to terrorist events.  ...  ACKNOWLEDGEMENTS I am very grateful for the guidance and support of my PhD advisor Dr. Michael Nelson and co-advisor Dr. Michele Weigle.  ... 
dblp:journals/tcdl/Nwala19 fatcat:4qlsxolkcfepdivso742rrjnja

Tracking Dengue on Twitter Using Hybrid Filtration-Polarity and Apache Flume

Norjihan Binti Abdul Ghani, Suraya Hamid, Muneer Ahmad, Younes Saadi, N.Z. Jhanjhi, Mohammed A. Alzain, Mehedi Masud
2022 Computer systems science and engineering  
This research study proposes a sentiment analysis polarity approach for collecting data and extracting relevant information about dengue via Apache Hadoop.  ...  An important finding of this paper is that developing efficient sentiment analysis applications for detecting diseases can be more reliable through the use of the Hadoop ecosystem components than through  ...  Most of the relevant studies chose a selection of keywords or even hashtags to detect the occurrence of an event or disease, as tweets containing the selected keyword were deemed relevant to the event.  ... 
doi:10.32604/csse.2022.018467 fatcat:ekjbcu5h5bbttpxvaycgzva5we

Geographic variability of Twitter usage characteristics during disaster events

Kiran Zahra, Frank O. Ostermann, Ross S. Purves
2017 Geo-spatial Information Science  
Twitter is a well-known microblogging platform for rapid diffusion of views, ideas, and information.  ...  Our results show similar geographic granularity for Myanmar and Italy earthquake events, but the Myanmar earthquake event has less information from locations nearby when compared to Italy.  ...  Her research interests are Twitter, natural disaster management, geographic information retrieval, and data quality. Frank O.  ... 
doi:10.1080/10095020.2017.1371903 fatcat:mp33ktv2ijfglb25ayz25odbeq

Assessment of Effectiveness of Content Models for Approximating Twitter Social Connection Structures [article]

Kuntal Dey and Sahil Agrawal and Rahul Malviya and Saroj Kaushik
2016 arXiv   pre-print
Impact of content at varying granularities, for the purpose of predicting links while retaining the social community structures, was investigated. 100 discussion topics, spanning over 10 Twitter events  ...  This paper explores the social quality (goodness) of community structures formed across Twitter users, where social links within the structures are estimated based upon semantic properties of user-generated  ...  Twitter followership graph 1: select a set of hashtags (events) from Twitter content 2: assign a user u i to all events (hashtags) that she participates in 3: for each event e do do 4: identify topics  ... 
arXiv:1605.09338v2 fatcat:2qpcvdu5arbwbbl2xkmharp2dq

Article Recommendation and Comics Story Representation for Twitter User Based Preferences

S. Vivekanandan, Swathi. N
2020 International Journal of Scientific Research in Science and Technology  
Twitter is an interesting platform for the dissemination of news.  ...  The real-time nature and brevity of the tweets are conductive to sharing of information related to important events as they unfold.Numerous consumer reviews of topics are now available on the Internet.  ...  Large-scale experiments over millions of Twitter messages show the effectiveness of our approach for surfacing real-world event content on Twitter. C.  ... 
doi:10.32628/ijsrst207226 fatcat:wmxrxaxmxrbc7pi5jdq4h4g6ri
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