Zobrazeno 1 - 10
of 423
pro vyhledávání: '"Danforth, Christopher M."'
Autor:
Minot, Joshua R., Maier, Marc, Demarest, Bradford, Cheney, Nicholas, Danforth, Christopher M., Dodds, Peter Sheridan, Frank, Morgan R.
Over the past decade, the gender pay gap has remained steady with women earning 84 cents for every dollar earned by men on average. Many studies explain this gap through demand-side bias in the labor market represented through employers' job postings
Externí odkaz:
http://arxiv.org/abs/2307.08580
Autor:
Zimmerman, Julia Witte, Hudon, Denis, Cramer, Kathryn, Onge, Jonathan St., Fudolig, Mikaela, Trujillo, Milo Z., Danforth, Christopher M., Dodds, Peter Sheridan
Publikováno v:
Plutonics, Volume 17, 2024, pages 107 - 156
Large Language Models (LLMs) like ChatGPT reflect profound changes in the field of Artificial Intelligence, achieving a linguistic fluency that is impressively, even shockingly, human-like. The extent of their current and potential capabilities is an
Externí odkaz:
http://arxiv.org/abs/2306.06794
Autor:
Linnell, Kelsey, Fudolig, Mikaela, Bloomfield, Laura, McAndrew, Thomas, Ricketts, Taylor H., O'Neil-Dunne, Jarlath P. M., Dodds, Peter Sheridan, Danforth, Christopher M.
A large and growing body of research demonstrates the value of local parks to mental and physical well-being. Recently, researchers have begun using passive digital data sources to investigate equity in usage; exactly who is benefiting from parks? Ea
Externí odkaz:
http://arxiv.org/abs/2305.12160
Autor:
Bird, Yoshi Meke, Grobe, Sarah E., Arnold, Michael V., Rogers, Sean P., Fudolig, Mikaela I., Zimmerman, Julia Witte, Danforth, Christopher M., Dodds, Peter Sheridan
Recent studies suggest social media activity can function as a proxy for measures of state-level public health, detectable through natural language processing. We present results of our efforts to apply this approach to estimate homelessness at the s
Externí odkaz:
http://arxiv.org/abs/2305.08978
Well curated, large-scale corpora of social media posts containing broad public opinion offer an alternative data source to complement traditional surveys. While surveys are effective at collecting representative samples and are capable of achieving
Externí odkaz:
http://arxiv.org/abs/2305.03092
Autor:
Fudolig, Mikaela Irene, Alshaabi, Thayer, Cramer, Kathryn, Danforth, Christopher M., Dodds, Peter Sheridan
Publikováno v:
Humanit Soc Sci Commun 10, 187 (2023)
While quantitative methods have been used to examine changes in word usage in books, studies have focused on overall trends, such as the shapes of narratives, which are independent of book length. We instead look at how words change over the course o
Externí odkaz:
http://arxiv.org/abs/2208.09496
Autor:
Linnell, Kelsey, Fudolig, Mikaela, Schwartz, Aaron, Ricketts, Taylor H., O'Neil-Dunne, Jarlath P. M., Dodds, Peter Sheridan, Danforth, Christopher M.
The COVID-19 pandemic disrupted the mobility patterns of a majority of Americans beginning in March 2020. Despite the beneficial, socially distanced activity offered by outdoor recreation, confusing and contradictory public health messaging complicat
Externí odkaz:
http://arxiv.org/abs/2205.15937
Autor:
Fudolig, Mikaela Irene, Alshaabi, Thayer, Arnold, Michael V., Danforth, Christopher M., Dodds, Peter Sheridan
Publikováno v:
Applied Network Science 7, 9 (2022)
We explore the relationship between context and happiness scores in political tweets using word co-occurrence networks, where nodes in the network are the words, and the weight of an edge is the number of tweets in the corpus for which the two connec
Externí odkaz:
http://arxiv.org/abs/2110.00587
Autor:
Alshaabi, Thayer, Van Oort, Colin M., Fudolig, Mikaela Irene, Arnold, Michael V., Danforth, Christopher M., Dodds, Peter Sheridan
Publikováno v:
Front. Artif. Intell. 4:783778 (2022)
Sentiment-aware intelligent systems are essential to a wide array of applications. These systems are driven by language models which broadly fall into two paradigms: Lexicon-based and contextual. Although recent contextual models are increasingly dom
Externí odkaz:
http://arxiv.org/abs/2109.09010
Autor:
Li, Yi, Ahani, Asieh, Zhan, Haimao, Foley, Kevin, Alshaabi, Thayer, Linnell, Kelsey, Dodds, Peter Sheridan, Danforth, Christopher M., Fox, Adam
The forecasting of political, economic, and public health indicators using internet activity has demonstrated mixed results. For example, while some measures of explicitly surveyed public opinion correlate well with social media proxies, the opportun
Externí odkaz:
http://arxiv.org/abs/2107.06096