Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Nwala, Alexander C."'
We present 3DLNews, a novel dataset with local news articles from the United States spanning the period from 1996 to 2024. It contains almost 1 million URLs (with HTML text) from over 14,000 local newspapers, TV, and radio stations across all 50 stat
Externí odkaz:
http://arxiv.org/abs/2408.04716
Social bots remain a major vector for spreading disinformation on social media and a menace to the public. Despite the progress made in developing multiple sophisticated social bot detection algorithms and tools, bot detection remains a challenging,
Externí odkaz:
http://arxiv.org/abs/2407.13929
Autor:
Yang, Kai-Cheng, Varol, Onur, Nwala, Alexander C., Sayyadiharikandeh, Mohsen, Ferrara, Emilio, Flammini, Alessandro, Menczer, Filippo
While social media are a key source of data for computational social science, their ease of manipulation by malicious actors threatens the integrity of online information exchanges and their analysis. In this Chapter, we focus on malicious social bot
Externí odkaz:
http://arxiv.org/abs/2312.17423
Malicious actors exploit social media to inflate stock prices, sway elections, spread misinformation, and sow discord. To these ends, they employ tactics that include the use of inauthentic accounts and campaigns. Methods to detect these abuses curre
Externí odkaz:
http://arxiv.org/abs/2211.00639
From popular uprisings to pandemics, the Web is an essential source consulted by scientists and historians for reconstructing and studying past events. Unfortunately, the Web is plagued by reference rot which causes important Web resources to disappe
Externí odkaz:
http://arxiv.org/abs/2107.02680
Popular web pages are archived frequently, which makes it difficult to visualize the progression of the site through the years at web archives. The What Did It Look Like (WDILL) Twitter bot shows web page transitions by creating a timelapse of a give
Externí odkaz:
http://arxiv.org/abs/2104.14041
Autor:
Jayawardana, Yasith, Nwala, Alexander C., Jayawardena, Gavindya, Wu, Jian, Jayarathna, Sampath, Nelson, Michael L., Giles, C. Lee
The vastness of the web imposes a prohibitive cost on building large-scale search engines with limited resources. Crawl frontiers thus need to be optimized to improve the coverage and freshness of crawled content. In this paper, we propose an approac
Externí odkaz:
http://arxiv.org/abs/2012.03397
Publikováno v:
Presented at the Web Archiving and Digital Libraries 2020 Workshop
Tools such as Google News and Flipboard exist to convey daily news, but what about the past? In this paper, we describe how to combine several existing tools with web archive holdings to perform news analysis and visualization of the "biggest story"
Externí odkaz:
http://arxiv.org/abs/2008.00139
We investigate the overlap of topics of online news articles from a variety of sources. To do this, we provide a platform for studying the news by measuring this overlap and scoring news stories according to the degree of attention in near-real time.
Externí odkaz:
http://arxiv.org/abs/2003.09989
In a Web plagued by disappearing resources, Web archive collections provide a valuable means of preserving Web resources important to the study of past events ranging from elections to disease outbreaks. These archived collections start with seed URI
Externí odkaz:
http://arxiv.org/abs/1905.12220