Results 191 to 200 of about 372,569 (238)
Some of the next articles are maybe not open access.
2015
A microblogging, such as the Twitter, is a Social Networking Service that allows the publication of short messages. Currently, Twitter has more than 270 million monthly active users, and it is widely used to discuss the most variety of topics. Due to the large amount of information circulating on Twitter, and the facility to publish and read messages ...
Wilson Seron +4 more
openaire +1 more source
A microblogging, such as the Twitter, is a Social Networking Service that allows the publication of short messages. Currently, Twitter has more than 270 million monthly active users, and it is widely used to discuss the most variety of topics. Due to the large amount of information circulating on Twitter, and the facility to publish and read messages ...
Wilson Seron +4 more
openaire +1 more source
netWorker, 2009
Sometimes I feel like I'm the only person in the world who doesn't "get" Twitter. Paradoxically, many of my friends tell me they feel the same way.
openaire +1 more source
Sometimes I feel like I'm the only person in the world who doesn't "get" Twitter. Paradoxically, many of my friends tell me they feel the same way.
openaire +1 more source
Evaluating the Effectiveness of Deplatforming as a Moderation Strategy on Twitter
Proc. ACM Hum. Comput. Interact., 2021Deplatforming refers to the permanent ban of controversial public figures with large followings on social media sites. In recent years, platforms like Facebook, Twitter and YouTube have deplatformed many influencers to curb the spread of offensive speech.
Shagun Jhaver +3 more
semanticscholar +1 more source
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
Expert systems with applications, 2021Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and Instagram. Compared to other OSNs, it has a simple data model and a straightforward data access API.
Despoina Antonakaki +2 more
semanticscholar +1 more source
Cursing in English on twitter [PDF]
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing, 2014 Cursing is not uncommon during conversations in the physical world: 0.5% to 0.7% of all the words we speak are curse words, given that 1% of all the words are first-person plural pronouns (e.g., we, us, our). On social media, people can instantly chat with friends without face-to-face interaction, usually in a more public fashion and broadly ...
Wang, Wenbo +3 more
openaire +2 more sources
2015
The increasing use of Twitter by businesses has created the challenge of how to measure its effectiveness for marketing communications. Using data based on two years of Twitter activity by leading global brands in the Auto, FMCG and Luxury industries, this chapter presents measures which can be used by practitioners and researchers to assess the ...
Soboleva, Alena (R17462) +2 more
openaire +3 more sources
The increasing use of Twitter by businesses has created the challenge of how to measure its effectiveness for marketing communications. Using data based on two years of Twitter activity by leading global brands in the Auto, FMCG and Luxury industries, this chapter presents measures which can be used by practitioners and researchers to assess the ...
Soboleva, Alena (R17462) +2 more
openaire +3 more sources
2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing, 2011
We have examined a Twitter data set, focusing on temporal patterns observed in users' tweets and in the conversations formed by interacting users -- rather than a network described by follows relations, or aggregate patterns. We have found the bursty behaviour predicted by Barabasi, but with complex patterns to the bursts.
Dan Chalmers +3 more
openaire +1 more source
We have examined a Twitter data set, focusing on temporal patterns observed in users' tweets and in the conversations formed by interacting users -- rather than a network described by follows relations, or aggregate patterns. We have found the bursty behaviour predicted by Barabasi, but with complex patterns to the bursts.
Dan Chalmers +3 more
openaire +1 more source
A visual–language foundation model for pathology image analysis using medical Twitter
Nature Medicine, 2023Zhi Huang +4 more
semanticscholar +1 more source
Journal of Digital Forensic Practice, 2010
One of the most interesting aspects of Web 2.0 technologies is how they have been adapted by users in ways not anticipated by the creators of the technology. We, as digital forensic practitioners, have to evolve our methods and approaches in response to both the technologies and their use. But that is “old hat” to us.
openaire +2 more sources
One of the most interesting aspects of Web 2.0 technologies is how they have been adapted by users in ways not anticipated by the creators of the technology. We, as digital forensic practitioners, have to evolve our methods and approaches in response to both the technologies and their use. But that is “old hat” to us.
openaire +2 more sources