Results 91 to 100 of about 312,541 (357)
Engaging customers through user-and company-generated content on CSR [PDF]
Purpose – This study aims to analyze the role of corporate social responsibility (CSR) customer perceptions, customer–company identification and customer trust on customer engagement (CE), paying special attention to the moderating effects of two types ...
Alberto Badenes-Rocha +2 more
doaj +1 more source
How open are journalists on Twitter? Trends towards the end-user journalism [PDF]
The many activities of journalists on Twitter should be analyzed. Are they doing a different kind of journalism? With a content analysis of 1125 tweets, this study reveals trends of some Spanish journalists using Twitter.
Noguera-Vivo, José-Manuel +2 more
core
Micro-blogging services such as Twitter represent constantly evolving, user-generated sources of information. Previous studies show that users search such content regularly but are often dissatisfied with current search facilities.
David Elsweiler +3 more
core +1 more source
ABSTRACT Corporate environmental communication has become an essential aspect of modern business practices, as stakeholders increasingly demand transparency and accountability regarding sustainability efforts. Within this context, we examine whether firms use environmental communication on X/Twitter to offset weaker relative environmental performance ...
Ivan Russo +3 more
wiley +1 more source
## Purpose of the Study. This study explores various outcomes associated with the incorporation of Twitter in the marketing classroom. To determine if Twitter use is a beneficial pursuit for marketing educators, we investigated classroom community ...
Theresa B. Clarke, C. Leigh Nelson
doaj +1 more source
Sosyal medya kullanımının ayrılmaz parçaları olan trol, bot ve cyborg gibi araçlar, bilişimsel propaganda etkileriyle demokrasiyi tehdit etmeye başlamışlardır.
Barış Yetkin
doaj +1 more source
Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model
Sarcasm is a subtle form of language in which people express the opposite of what is implied. Previous works of sarcasm detection focused on texts. However, more and more social media platforms like Twitter allow users to create multi-modal messages ...
Yitao Cai, Huiyu Cai, Xiaojun Wan
semanticscholar +1 more source
Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach
Background It is important to measure the public response to the COVID-19 pandemic. Twitter is an important data source for infodemiology studies involving public response monitoring.
Jia Xue +6 more
semanticscholar +1 more source
Interest Assortativity in Twitter [PDF]
Assortativity is the preference for a person to relate to others who are someway similar. This property has been widely studied in real-life social networks in the past and, more recently, great attention is devoted to study various forms of assortativity also in online social networks, being aware that it does not suffice to apply past scientific ...
Francesco Buccafurri +3 more
openaire +1 more source
ABSTRACT Social media platforms today have become essential for consumer‐brand interactions, with visual content playing a pivotal role in shaping engagement and brand perception. Although text‐based user‐generated content (UGC) has been widely studied, the potential of visual UGC, particularly in the travel, tourism and hospitality (TTH) sector ...
Chinchu Abraham +2 more
wiley +1 more source

