Publications

@inproceedings{2022-Nkemelu-THSLLWCE,

title = {Tackling Hate Speech in Low-resource Languages with Context Experts},

author = {Daniel Nkemelu and Harshil Shah and Irfan Essa and Michael L. Best},

url = {https://www.nkemelu.com/data/ictd2022_nkemelu_final.pdf

},

year  = {2022},

date = {2022-06-01},

urldate = {2022-06-01},

booktitle = {International Conference on Information & Communication Technologies and Development (ICTD)},

abstract = {Given Myanmar's historical and socio-political context, hate speech spread on social media have escalated into offline unrest and violence. This paper presents findings from our remote study on the automatic detection of hate speech online in Myanmar. We argue that effectively addressing this problem will require community-based approaches that combine the knowledge of context experts with machine learning tools that can analyze the vast amount of data produced. To this end, we develop a systematic process to facilitate this collaboration covering key aspects of data collection, annotation, and model validation strategies. We highlight challenges in this area stemming from small and imbalanced datasets, the need to balance non-glamorous data work and stakeholder priorities, and closed data sharing practices. Stemming from these findings, we discuss avenues for further work in developing and deploying hate speech detection systems for low-resource languages.},

keywords = {computational journalism, ICTD, social computing},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{2017-Deeb-Swihart-SELLCSCI,

title = {Selfie-Presentation in Everyday Life: A Large-Scale Characterization of Selfie Contexts on Instagram},

author = {Julia Deeb-Swihart and Christopher Polack and Eric Gilbert and Irfan Essa},

year  = {2017},

date = {2017-05-01},

booktitle = {International AAAI Conference on Web and Social Media (ICWSM)},

organization = {AAAI},

keywords = {social computing},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{2008-Diakopoulos-APPTTSTWPG,

title = {Audio Puzzler: Piecing Together Time-Stamped Speech Transcripts with a Puzzle Game},

author = {N. Diakopoulos and K. Luther and I. Essa},

doi = {10.1145/1459359.1459507},

year  = {2008},

date = {2008-10-01},

booktitle = {ACM International Conference on Multimedia (ACM-MM)},

abstract = {We have developed an audio-based casual puzzle game which produces a time-stamped transcription of spoken audio as a by-product of play. Our evaluation of the game indicates that it is both fun and challenging. The transcripts generated using the game are more accurate than those produced using a standard automatic transcription system and the time-stamps of words are within several hundred milliseconds of ground truth.},

keywords = {social computing},

pubstate = {published},

tppubtype = {inproceedings}

}