most citedHuman language reveals a universal positivity bias

3 citations · 4 across the 2 of their papers we have counts for

collaborators

5 papers

econ.GN20231 cited

Brief for the Canada House of Commons Study on the Implications of Artificial Intelligence Technologies for the Canadian Labor Force: Generative Artificial Intelligence Shatters Models of AI and Labor

Morgan R. Frank

Exciting advances in generative artificial intelligence (AI) have sparked concern for jobs, education, productivity, and the future of work. As with past technologies, generative A…

cs.CY20234 cited

AI exposure predicts unemployment risk

Morgan Frank, Yong-Yeol Ahn, Esteban Moro

Is artificial intelligence (AI) disrupting jobs and creating unemployment? Despite many attempts to quantify occupations' exposure to AI, inconsistent validation obfuscates the rel…

physics.soc-ph2023

The Resume Paradox: Greater Language Differences, Smaller Pay Gaps

Joshua R. Minot, Marc Maier, Bradford Demarest +4

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-sid…

physics.soc-ph20141 cited

Constructing a taxonomy of fine-grained human movement and activity motifs through social media

Morgan R. Frank, Jake Ryland Williams, Lewis Mitchell +3

Profiting from the emergence of web-scale social data sets, numerous recent studies have systematically explored human mobility patterns over large populations and large time scale…

physics.soc-ph20143 cited

Human language reveals a universal positivity bias

Peter Sheridan Dodds, Eric M. Clark, Suma Desu +11

Using human evaluation of 100,000 words spread across 24 corpora in 10 languages diverse in origin and culture, we present evidence of a deep imprint of human sociality in language…