Results 11 to 20 of about 13,061 (196)

Internet News Headlines: Ontological and Orthological Aspects

open access: yesНаучный диалог, 2021
The author presents the results of a multidimensional analysis of Internet news headlines based on the headings of the Yandex news aggregator. The issue of the text status of news headlines is considered.
E. N. Shirokova
doaj   +3 more sources

Profiling the news spreading barriers using news headlines

open access: yesCoRR, 2023
News headlines can be a good data source for detecting the news spreading barriers in news media, which may be useful in many real-world applications. In this paper, we utilize semantic knowledge through the inference-based model COMET and sentiments of news headlines for barrier classification.
Abdul Sittar   +2 more
openaire   +3 more sources

Syntactic Patterns of News Headlines in Philippine and American Newspapers [PDF]

open access: yesJPAIR, 2015
Linguistic and rhetorical patterns of texts are intertwined with writers’ socio-cultural backgrounds. The study explored the syntactic patterns of news headlines in Philippine and American newspapers.
Rommel Tabula, Richard Agbayani
doaj   +2 more sources

Clickbait Titles on Regional Internet Media: Mimicry of News Headlines

open access: yesВиртуальная коммуникация и социальные сети, 2022
The article explores the current trends in regional online journalism. The authors analyzed news headlines published on the Kuzbass online news media to identify productive patterns. Clickbait titles are a new phenomenon that borders on online journalism
Stanislav V. Olenev   +1 more
doaj   +2 more sources

News Headlines Dataset For Sarcasm Detection

open access: yesCoRR, 2022
Past studies in Sarcasm Detection mostly make use of Twitter datasets collected using hashtag-based supervision but such datasets are noisy in terms of labels and language. Furthermore, many tweets are replies to other tweets, and detecting sarcasm in these requires the availability of contextual tweets.
Misra, Rishabh
openaire   +3 more sources

Headlines Matter: Using Headlines to Predict the Popularity of News Articles on Twitter and Facebook [PDF]

open access: yesProceedings of the International AAAI Conference on Web and Social Media, 2017
Social media like Facebook or Twitter have become an entry point to news for many readers. In that scenario, the headline is the most prominent — and often the only visible — part of the news article. We propose a novel task of using only headlines to predict the popularity of news articles.
Piotrkowicz, A   +3 more
openaire   +5 more sources

Sarcasm detection on news headlines using transformers

open access: yesThe Journal of Supercomputing
Abstract Sarcasm poses a linguistic challenge due to its figurative nature where intended meaning contradicts literal interpretation. Sarcasm is prevalent in human communication, affecting interactions in literature, social media, news, e-commerce, etc.
Gümüşçekiçci, Gizem   +1 more
openaire   +4 more sources

Sarcasm Discernment on Social Media Platform [PDF]

open access: yesE3S Web of Conferences, 2021
Past studies in Sarcasm Detection mostly make use of Twitter datasets collected using hashtag-based supervision but such datasets are noisy in terms of labels and language.
Sagarika Namasani   +5 more
doaj   +1 more source

Strategies for creating headlines on Serbian online news portals [PDF]

open access: yesCM. Communication and Media, 2021
Online media are assuming greater role when it comes to informing public in Serbia, currently holding second place, after Television, which is still the main source of information.
Kvapil Milena
doaj   +1 more source

NIFTY Financial News Headlines Dataset

open access: yesCoRR
We introduce and make publicly available the NIFTY Financial News Headlines dataset, designed to facilitate and advance research in financial market forecasting using large language models (LLMs). This dataset comprises two distinct versions tailored for different modeling approaches: (i) NIFTY-LM, which targets supervised fine-tuning (SFT) of LLMs ...
Raeid Saqur   +3 more
openaire   +3 more sources

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