Purpose To better understand executive communication on social media, this paper examines the pattern of messages posted by chief executive officers (CEOs) on Twitter and their retweetability (rate of reposting by other users). Design/methodology/approach The study data comprises 1068 original tweets randomly selected from all Fortune 1000 CEOs tweets in 2014. The impact of the contextual facto...

Alcohol abuse may lead to unsociable behavior such as crime, drunk driving, or privacy leaks. We introduce automatic drunk-texting prediction as the task of identifying whether a text was written when under the influence of alcohol. We experiment with tweets labeled using hashtags as distant supervision. Our classifiers use a set of N-gram and stylistic features to detect drunk tweets. Our obse...

Hash tags are the natural way through which tweets are linked to each other. Some of these hash tags are actually little sentences, whose decompositions can prove quite useful when mining opinions from tweets. We will show in this article how we can automatically detect the inner polarity of these hash tags, through their decomposition and analysis. Mots-clés : hash tag, tweet, analyse d’opinio...

In this paper, we present quantitative and qualitative analysis of the top retweeted tweets (viral tweets) pertaining to the US presidential elections from September 1, 2016 to Election Day on November 8, 2016. For everyday, we tagged the top 50 most retweeted tweets as supporting or attacking either candidate or as neutral/irrelevant. Then we analyzed the tweets in each class for: general tren...

This paper briefly describes the Qatar Computing Research Institute (QCRI) participation in the TREC 2011 Microblog track. The focus of our TREC submissions was on using a generative graphic model to perform query expansion. We trained a model that attempted to predict appropriate hashtags to expand tweets as well as queries. In essence, we used hashtags to represent latent topics in tweets.

An important challenge in the process of tracking and detecting the dissemination of misinformation is to understand the gap in the political views between people that engage with the so called ”fake news”. A possible factor responsible for this gap is opinion polarization, which may prompt the general public to classify content that they disagree or want to discredit as fake. In this work, we ...

Rich data provided by tweets have been analyzed, clustered, and explored in a variety of studies. Typically those studies focus on named entity recognition, entity linking, and entity disambiguation or clustering. Tweets and hashtags are generally analyzed on sentential or word level but not on a compositional level of concatenated words. We propose an approach for a closer analysis of compound...

One of the most important issues related to knowledge discovery is the field of comment mining. Opinion mining is a tool through which the opinions of people who comment about a specific issue can be evaluated in order to achieve some interesting results. This is a subset of data mining. Opinion mining can be improved using the data mining algorithms. One of the important parts of opinion minin...