Camille A. Harris

I’m a 5th year PhD student at the Georgia Institute of Technology in the Interactive Computing program. I’m advised by Diyi Yang in the SALT Lab and Neha Kumar in the Tandem Lab. My research involves using mixed-methods to understand and mitigate biases and harms towards underrepresented and low-resource languages and dialects in natural language processing tasks. Beyond that, I am broadly interested in research exploring marginalized groups and their experiences with social media, AI systems, and algorithmic bias.

My work is supported by the Ford Foundation Predoctoral Fellowship, the GEM Fellowship and the Amazon Consumer Robotics Research Grant. My research has recieved awards such as Recognition for Diversity and Inclusion from ACM Conference on Computer Supported Cooperative Work (CSCW 2023) and Best Student Paper Award from Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO 2021).

Previously I held internship positions at IBM Research on the Tech for Justice Teamthe algorithm fairness research team at Snap Inc. and an intern at Adobe Research. Prior to my beginning my PhD I earned a Bachelor’s in Computer Science at the University of California Berkeley, go Bears!

selected publications

EMNLP

Modeling Gender and Dialect Bias in Automatic Speech Recognition

Camille Harris, Chijioke Mgbahurike, Neha Kumar, and 1 more author

In Findings of the Association for Computational Linguistics: EMNLP 2024 2024
CSCW
"Honestly, I Think TikTok Has a Vendetta Against Black Creators": Understanding Black Content Creator Experiences on TikTok

Camille Harris, Amber Gayle Johnson, Sadie Palmer, and 2 more authors

Proc. ACM Hum.-Comput. Interact. Oct 2023

Abs Bib PDF

As video-sharing social-media platforms have increased in popularity, a ’creator economy’ has emerged in which platform users make online content to share with wide audiences, often for profit. As the creator economy has risen in popularity, so have concerns of racism and discrimination on social media. Black content creators across multiple platforms have identified challenges with racism and discrimination, perpetuated by platform users, companies that collaborate with creators for sponsored content, and the algorithms governing these platforms. In this work, we provide a qualitative study of the experiences of Black content creators on one video-sharing platform, TikTok. We conduct 12 semi-structured interviews with Black TikTok content creators to understand their experiences, identify the challenges they face, and understand their perceptions of the platform. We find that some common challenges include: content moderation, monetization, harassment and bullying from viewers, lack of transparency of recommendation and filtering algorithms, and the perception that content from Black creators is treated unfairly by those algorithms. We then suggest design interventions to mitigate the challenges, bolster positive aspects, and overall cultivate an inclusive algorithmic experience for Black creators on TikTok
@article{10.1145/3610169, author = {Harris, Camille and Johnson, Amber Gayle and Palmer, Sadie and Yang, Diyi and Bruckman, Amy}, title = {"Honestly, I Think TikTok Has a Vendetta Against Black Creators": Understanding Black Content Creator Experiences on TikTok}, year = {2023}, issue_date = {October 2023}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, volume = {7}, url = {https://doi.org/10.1145/3610169}, doi = {10.1145/3610169}, journal = {Proc. ACM Hum.-Comput. Interact.}, month = oct, articleno = {320}, numpages = {31}, keywords = {algorithmic inclusivity, racism, algorithmic exclusion, black online culture, TikTok, anti-blackness, social media} }

FAccT

Exploring the Role of Grammar and Word Choice in Bias toward African American English (AAE) in Hate Speech Classification

Camille Harris, Matan Halevy, Ayanna Howard, and 2 more authors

In 2022 ACM Conference on Fairness, Accountability, and Transparency Oct 2022

Bib PDF

@inproceedings{harris2022exploring,
  title = {Exploring the Role of Grammar and Word Choice in Bias toward African American English (AAE) in Hate Speech Classification},
  author = {{Harris}, Camille and {Halevy}, Matan and {Howard}, Ayanna and {Bruckman}, Amy and {Yang}, Diyi},
  journal = {FAccT},
  booktitle = {2022 ACM Conference on Fairness, Accountability, and Transparency},
  pages = {789--798},
  year = {2022},
  url = {https://dl.acm.org/doi/abs/10.1145/3531146.3533144},
}

ACL

VALUE: Understanding Dialect Disparity in NLU

Caleb Ziems, Jiaao Chen, Camille Harris, and 2 more authors

Oct 2022

Bib PDF

@article{ziems2022value,
  title = {VALUE: Understanding Dialect Disparity in NLU},
  author = {{Ziems}, Caleb and {Chen}, Jiaao and {Harris}, Camille and {Anderson}, Jessica and {Yang}, Diyi},
  booktitle = {In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL) 2022},
  year = {2022},
}

EAAMO

Mitigating Racial Biases in Toxic Language Detection with an Equity-Based Ensemble Framework

Matan Halevy, Camille Harris, Amy Bruckman, and 2 more authors

Oct 2021

Bib PDF

@incollection{halevy2021mitigating,
  title = {Mitigating Racial Biases in Toxic Language Detection with an Equity-Based Ensemble Framework},
  author = {{Halevy}, Matan and {Harris}, Camille and {Bruckman}, Amy and {Yang}, Diyi and {Howard}, Ayanna},
  booktitle = {Equity and Access in Algorithms, Mechanisms, and Optimization},
  pages = {1--11},
  year = {2021},
  url = {https://dl.acm.org/doi/abs/10.1145/3465416.3483299},
}