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Found 12 papers, 7 papers with code
Words and Action: Modeling Linguistic Leadership in #BlackLivesMatter Communities
In this project, we describe a method of modeling semantic leadership across a set of communities associated with the #BlackLivesMatter movement, which has been informed by qualitative research on the structure of social media and Black Twitter in particular.
Grounding Characters and Places in Narrative Texts
Tracking characters and locations throughout a story can help improve the understanding of its plot structure.
Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4
In this work, we carry out a data archaeology to infer books that are known to ChatGPT and GPT-4 using a name cloze membership inference query.
Predicting Long-Term Citations from Short-Term Linguistic Influence
A standard measure of the influence of a research paper is the number of times it is cited.
Linguistic Characterization of Divisive Topics Online: Case Studies on Contentiousness in Abortion, Climate Change, and Gun Control
As public discourse continues to move and grow online, conversations about divisive topics on social media platforms have also increased.
Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers
This paper supplements recent qualitative work on the role of women in abolition's vanguard, as well as the role of the Black press, with a quantitative text modeling approach.
Racism is a Virus: Anti-Asian Hate and Counterspeech in Social Media during the COVID-19 Crisis
The spread of COVID-19 has sparked racism and hate on social media targeted towards Asian communities.
Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations
However, simply knowing that a word has changed in meaning is insufficient to identify the instances of word usage that convey the historical or the newer meaning.
Characterizing Activity on the Deep and Dark Web
The deep and darkweb (d2web) refers to limited access web sites that require registration, authentication, or more complex encryption protocols to access them.
Detecting Social Influence in Event Cascades by Comparing Discriminative Rankers
However, detecting social influence from observational data is challenging due to confounds like homophily and practical issues like missing data.
Calendar.help: Designing a Workflow-Based Scheduling Agent with Humans in the Loop
Although information workers may complain about meetings, they are an essential part of their work life.
The Social Dynamics of Language Change in Online Networks
Language change is a complex social phenomenon, revealing pathways of communication and sociocultural influence.
