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Adithya V. Ganesan on Muck Rack

Adithya V. Ganesan

As seen in: Nature, Dialnet - Universidad de La Rioja
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Articles

Automatic implicit motive codings are at least as accurate as humans’ and 99% faster.

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By Håkan Nilsson, Adithya V. Ganesan, Nikita Soni, J. Malte
| Dialnet - Universidad de La Rioja
Ayuda Buscar en la ayuda Buscar en la ayuda Automatic implicit motive codings are at least as accurate as humans’ and 99% faster. Autores: Håkan Nilsson, J. Malte Runge, Adithya V. Ganesan, Carl Viggo N. G. Lövenstierne, Nikita Soni, Oscar N. E. Kjell Localización: Journal of Personality and Social Psychology, ISSN 0022-3514, ISSN-e 1939-1315, Vol. 128, Nº. 6, 2025, págs.
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Robust language-based mental health assessments in time and space through social media - npj Digital Medicine

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By Johannes C. Eichstaedt, Siddharth Mangalik, Adithya V. Ganesan
| Nature Verified
Abstract In the most comprehensive population surveys, mental health is only broadly captured through questionnaires asking about “mentally unhealthy days” or feelings of “sadness.” Further, population mental health estimates are predominantly consolidated to yearly estimates at the state level, which is considerably coarser than the best estimates of physical health. Through the large-scale analysis of social media, robust estimation of population mental health is feasible at finer resolutions.
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