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Even though the integration of sentiment analysis and decision-making techniques has become popular in recent years, most of the related studies only consider the obtained sentiment score, thus neglecting the numerical ratings that are usually ...

This paper examines how alternative food networks (AFNs) cultivate engagement on a social media platform. Using the method proposed in Kar and Dwivedi (2020) and Berente et al. (2019), we contribute to theory through combining exploratory text ...

• The study examines how AFNs cultivate social media engagement.
• A big data–driven theory building approach is adopted.
• We integrate topic modeling, sense making, and panel data analysis.
• Different relationship cultivation ...

Despite the growing interest in the use of Twitter in higher education, its effects on aspects such as student engagement and learning continue to yield unclear and even contradictory results. The combination of evaluative methodologies for these ...

Intersection attacks, which are popular traffic analysis attacks, have been extensively studied in anonymous point-to-point communication scenarios. These attacks are also known to be challenging threats to anonymous group communication, e.g., ...

Social media were originally created as a means of communication, but have eventually become an important way of producing and sharing information and news. Beyond that, the scientific community’s interest in conducting studies in numerous fields ...

Microblogging sites are being used as analysis avenues due to their peculiarities (promptness, short texts...). Lately, researchers have focused mainly in classification performance rather than interpretability. When the problem requires ...

• Four indicators about topical and sentiment propagation are proposed.
• The diversity of microblogging emotions varies inversely with the number of microblog entries across different stages.
• About 61.4 % of the retweets that ...

When public events occur, users often generate a huge number of microblog entries and their online interactions with one another. Forwarding and commenting on posts contribute to the huge networks of topic and sentiment communication. This study ...

Online merchants often use social media to communicate deal messages to directed consumers, but they face the fundamental challenge of how to effectively communicate deal messages to these consumers using that medium. This research seeks to address ...

Recent advances in microblog content summarization has primarily viewed this task in the context of traditional multi-document summarization techniques where a microblog post or their collection form one document. While these techniques already ...

The social network is a huge source of information, which plays an increasingly crucial role in people’s daily lives. As a form of online social network management, much information can be discovered via posts, which allows people to exchange and ...

This paper uses Twitter as a microblogging platform to link hashtags, which relate the message to a topic that is shared among users, to Wikidata, a central knowledge base of information relying on its members and machine bots to keeping its content up ...

• Explore the co-existing relationship between emotion and rationality on Weibo.
• ...

This study aimed to explore the relationship between reason and passion on the Chinese microblogging site Weibo, with an emphasis on the coexistence of emotional and rational arguments as well as how they predict message ...

Sarcasm detection has been treated as a task that classifies text as sarcastic or non-sarcastic. Sarcasm detection is a significant challenge for sentiment analysis because sarcasm involves a positive expression with a negative meaning. Surface ...

Social media facilitates information dissemination and narrows the distance between merchants and consumers. However, how to better integrate social media and how to communicate promotional messages to consumers have not been fully understood by ...

In this work, we model the problem of online event detection in microblogs as a stateful stream processing problem and offer a novel solution that balances result accuracy and performance. Our new approach builds on two state of the art ...

We develop a classification model to predict which country will be visited next by Twitter users. In our model we incorporate a range of spatial and temporal attributes as well as we use language as one of additional, novel attributes for ...

With the growing popularity of microblogging services such as Twitter in recent years, an increasing number of users are using these services in their daily lives. The huge volume of information generated by users raises new opportunities in various ...

Behavioral economics show us that emotions play an important role in individual behavior and decision-making. Does this also affect collective decision making in a community? Here we investigate whether the community sentiment energy of a topic is ...

Firms are increasingly focusing on understanding and managing their social media strategies in order to create discussions and optimize the spread of news in their communities. Most prior studies on information dissemination have mainly focused on the ...

This study seeks to further the research on online language learning by examining the level at which intermediate ESL students understand and process sociopragmatic information in their second language L2 in globally networked environments like Twitter. ...