Results 71 to 80 of about 11,144 (177)
Media trends and public interest in wildfires in Tuscany, Italy
Geographical Research, Volume 64, Issue 1, February 2026.Wildfires have increased in intensity and frequency due to climatic and socio‐economic changes. This study analyses media habits about wildfires in Italy, particularly Tuscany. Findings show gaps and correlations between local news and wildfire events, allowing identification of critical areas where deeper risk perception analysis should be conducted ...
Silvia Calvani +5 more
wiley +1 more source
#REval: A Semantic Evaluation Framework for Hashtag Recommendation
IEEE Transactions on Knowledge and Data Engineering18 pages, 4 ...
Areej Alsini, Du Q. Huynh, Amitava Datta
openaire +2 more sources
Health Expectations, Volume 29, Issue 1, February 2026.ABSTRACT Context The majority of people living with diabetes experience stigma; this is often conveyed through language. There is a growing international focus on the language used around diabetes, but the experience of the same has not been investigated in an Irish context.
Ellie Patterson +6 more
wiley +1 more source
RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag Recommendation
Accepted by ECIR2024 full ...
Run-Ze Fan +5 more
openaire +2 more sources
The Review of Socionetwork StrategiesIn image-posting social networking services, such as Instagram, recommendation of appropriate hashtags for posts is vital. In the existing methods, a hashtag is searched using the names of object labels included in images added to posts as hashtags, and a relevance prediction model is applied to hashtags that appear most frequently among those attached
Etsutaro Kamino, Eisuke Kita
openaire +2 more sources
Characterizing Information Diets of Social Media Users
, 2017 With the widespread adoption of social media sites like Twitter and Facebook, there has been a shift in the way information is produced and consumed. Earlier, the only producers of information were traditional news organizations, which broadcast the same
Espin-Noboa, Lisette +4 more
core
, 2018 Extracting knowledge from user-generated content (UGC) in social media platforms is a very hot research topic in the area of machine learning, nonetheless, the main challenge resides in the fact that UGC carries inference, abstraction and subjectivity alongside objectivity.
Barakat, Serena, Chathuranga, Mahesh
openaire +1 more source
Leveraging topic extraction for hashtag recommendations
, 2015 The microblogging service Twitter uses hashtags to tag and categorize messages. To automatically recommend appropriate hashtags, we analyze the text contained in websites linked in a Twitter message. This paper compares and analyzes various approaches and algorithms for topic extraction and seeks to optimize and use them in order to generate keywords ...
openaire +1 more source
Popular Tag Recommendation by Neural Network in Social Media. [PDF]
Comput Intell Neurosci, 2023 Jafari Sadr M +3 more
europepmc +1 more source
#sleepingbaby on Instagram: Nonadherence of images to safe sleeping advice and implications for prevention of Sudden Unexpected Death in Infancy. [PDF]
PLoS One, 2023 Kanits F +4 more
europepmc +1 more source