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The Problem of Semantic Shift in Longitudinal Monitoring of Social Media: A Case Study on Mental Health During the COVID-19 Pandemic


Jun 22, 2022
Keith Harrigian, Mark Dredze

* Accepted to the 14th International ACM Conference on Web Science in 2022 (WebSci '22) 

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Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnoses


Jun 22, 2022
Keith Harrigian, Mark Dredze

* Accepted to the Eighth Workshop on Computational Linguistics and Clinical Psychology (CLPsych) at NAACL 

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Gender and Racial Fairness in Depression Research using Social Media


Mar 18, 2021
Carlos Aguirre, Keith Harrigian, Mark Dredze

* Accepted to EACL 2021 

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On the State of Social Media Data for Mental Health Research


Nov 10, 2020
Keith Harrigian, Carlos Aguirre, Mark Dredze

* Originally submitted to ICWSM in January 2020. Updated November 2020. Supplementary material at https://github.com/kharrigian/mental-health-datasets 

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Geocoding Without Geotags: A Text-based Approach for reddit


Oct 07, 2018
Keith Harrigian

* Accepted to the EMNLP Workshop on Noisy User-generated Text (W-NUT). Brussels, Belgium. November 1, 2018 

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Recognizing Film Entities in Podcasts


Sep 24, 2018
Ahmet Salih Gundogdu, Arjun Sanghvi, Keith Harrigian

* 4 pages, 1 figure. To appear in Proceedings of 2018 KDD Workshop on Machine Learning and Data Mining for Podcasts, August 2018, London, UK 

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