Publications

@article{tochi-content-mod-tradeoff,
	title = {A {Trade-off-Centered} {Framework} of {Content} {Moderation}},
	volume = {30},
	number = {1},
	journal = {ACM Trans. Comput.-Hum. Interact.},
	author = {Jiang, Jialun Aaron and Nie, Peipei and Brubaker, Jed R. and Fiesler, Casey},
	year = {2023},
	month = {3},
	articleno = {3},
	numpages = {34},
	doi = {10.1145/3534929}
}

@article{cscw2021-severus-qual,
	title = {A {Framework} of {Severity} for {Harmful} {Content} {Online}},
	volume = {5},
	number = {CSCW2},
	journal = {Proc. ACM Hum.-Comput. Interact.},
	author = {Scheuerman, Morgan Klaus and Jiang, Jialun Aaron and Fiesler, Casey and Brubaker, Jed R.},
	year = {2021},
	month = {10},
	pages = {Article 368},
	doi = {10.1145/3479512}
}

@inproceedings{chi2021-genderforms,
	author = {Morgan Klaus Scheuerman and Jialun Aaron Jiang and Katta Spiel and Jed R. Brubaker},
	title = {Revisiting {Gendered} {Web} {Forms:} {An} {Evaluation} of {Gender} {Inputs} with {(Non-)Binary} {People}},
	booktitle = {Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI ’21),},
	year = {2021},
	doi = {10.1145/3411764.3445742},
	tags = {gender-survey}
}

@article{cscw2021-qbd,
	title = {Supporting {Serendipity}: {Opportunities} and {Challenges} for {Human-AI} {Collaboration} in {Qualitative} {Analysis}},
	author = {Jiang, Jialun Aaron and Wade, Kandrea and Fiesler, Casey and Brubaker, Jed R.},
	year = {2021},
	issue_date = {April 2021},
	publisher = {Association for Computing Machinery},
	address = {New York, NY, USA},
	volume = {5},
	number = {CSCW1},
	doi = {10.1145/3449168},
	journal = {Proc. ACM Hum.-Comput. Interact.},
	month = {04},
	articleno = {94},
	numpages = {23}
}

@article{plosone-severus-quant,
    doi = {10.1371/journal.pone.0256762},
    author = {Jiang, Jialun Aaron and Scheuerman, Morgan Klaus and Fiesler, Casey and Brubaker, Jed R.},
    journal = {PLOS ONE},
    publisher = {Public Library of Science},
    title = {Understanding international perceptions of the severity of harmful content online},
    year = {2021},
    month = {08},
    volume = {16},
    url = {https://doi.org/10.1371/journal.pone.0256762},
    pages = {1-22},
    abstract = {Online social media platforms constantly struggle with harmful content such as misinformation and violence, but how to effectively moderate and prioritize such content for billions of global users with different backgrounds and values presents a challenge. Through an international survey with 1,696 internet users across 8 different countries across the world, this empirical study examines how international users perceive harmful content online and the similarities and differences in their perceptions. We found that across countries, the perceived severity consistently followed an exponential growth as the harmful content became more severe, but what harmful content were perceived as more or less severe varied significantly. Our results challenge platform content moderation’s status quo of using a one-size-fits-all approach to govern international users, and provide guidance on how platforms may wish to prioritize and customize their moderation of harmful content.},
    number = {8}
}

@inproceedings{cscw2020-community-guidelines,
	title = {Characterizing {C}ommunity {G}uidelines on {S}ocial {M}edia {P}latforms},
	booktitle = {CSCW 2020 Companion},
	author = {Jialun "Aaron" Jiang and Skyler Middler and Jed R. Brubaker and Casey Fiesler},
	year = {2020},
	tags = {online-moderation}
}

@article{cscw2019-upsetcon,
	title = {"Am {I} {Never} {Going} to {Be} {Free} of {All} {This} {Crap}?" {Upsetting} {Encounters} {With} {Algorithmically} {Curated} {Content} {About} {Ex-Partners}},
	volume = {3},
	number = {CSCW},
	journal = {Proc. ACM Hum.-Comput. Interact.},
	author = {Anthony T. Pinter and Jialun "Aaron" Jiang and Katie Z. Gach and Melanie M. Sidwell and James E. Dykes and Jed R. Brubaker},
	year = {2019},
	pages = {Article 70},
	doi = {10.1145/3359172},
	tags = {upsetcon}
}

@article{cscw2019-discord,
	abstract = {Online community moderators are on the front lines of combating problems like hate speech and harassment, but new modes of interaction can introduce unexpected challenges. In this paper, we consider moderation practices and challenges in the context of real-time, voice-based communication through 25 in-depth interviews with moderators on Discord. Our findings suggest that the affordances of voice-based online communities change what it means to moderate content and interactions. Not only are there new ways to break rules that moderators of text-based communities find unfamiliar, such as disruptive noise and voice raiding, but acquiring evidence of rule-breaking behaviors is also more difficult due to the ephemerality of real-time voice. While moderators have developed new moderation strategies, these strategies are limited and often based on hearsay and first impressions, resulting in problems ranging from unsuccessful moderation to false accusations. Based on these findings, we discuss how voice communication complicates current understandings and assumptions about moderation, and outline ways that platform designers and administrators can design technology to facilitate moderation.},
	title = {Moderation {Challenges} in {Voice-based} {Online} {Communities} on {Discord}},
	volume = {3},
	number = {CSCW},
	journal = {Proc. ACM Hum.-Comput. Interact.},
	author = {Jialun "Aaron" Jiang and Charles Kiene and Skyler Middler and Jed R. Brubaker and Casey Fiesler},
	year = {2019},
	pages = {Article 55},
	doi = {10.1145/3359157},
	tags = {online-moderation}
}

@article{cscw2019-discord-reddit-moderation,
	title = {Technological {Frames} and {User} {Innovation}: {Evidence} from {Online} {Community} {Moderation} {Teams}},
	volume = {3},
	number = {CSCW},
	journal = {Proc. ACM Hum.-Comput. Interact.},
	author = {Charles Kiene and Jialun "Aaron" Jiang and Benjamin Mako Hill},
	year = {2019},
	pages = {Article 44},
	doi = {10.1145/3359146},
	tags = {online-moderation}
}

@article{cscw2018-gif,
	abstract = {Animated GIFs are increasingly popular in text-based communication. Finding the perfect GIF can make conversations funny, interesting, and engaging, but GIFs also introduce potentials for miscommunication. Through 24 in-depth qualitative interviews, this empirical, exploratory study examines the nuances of communication practices with animated GIFs to better understand why and how GIFs can send unintentional messages. We find participants leverage contexts like source material and interpersonal relationship to find the perfect GIFs for different communication scenarios, while these contexts are also the primary reason for miscommunication and some technical usability issues. This paper concludes with a discussion of the important role that different types of context play in the use and interpretations of GIFs, and argues that nonverbal communication tools should account for complex contexts and common ground that communication media rely on.},
	title = {"{The} {Perfect} {One}": {Understanding} {Communication} {Practices} and {Challenges} with {Animated} {GIFs}},
	volume = {2},
	number = {CSCW},
	journal = {Proc. ACM Hum.-Comput. Interact.},
	author = {Jialun "Aaron" Jiang and Casey Fiesler and Jed R. Brubaker},
	year = {2018},
	pages = {Article 80},
	doi = {10.1145/3274349},
	tags = {gifeels}
}

@inproceedings{icwsm2018-mortality-classification,
	author = {Jialun "Aaron" Jiang and Jed R. Brubaker},
	title = {Describing and Classifying Post-Mortem Content on Social Media},
	booktitle = {Proceedings of the Twelfth International Conference on Web and Social Media (ICWSM-2018)},
	year = {2018},
	keywords = {death; social media; myspace; machine learning; computational linguistics},
	tags = {death-sns, mortality-classification},
	abstract = {As the quantity of user profiles on social media grows, so does the number of post-mortem profiles. In this paper, we present a computational linguistic analysis of post-mortem social media profiles. Specifically, we provide an analysis of pre- vs. post-mortem language use, followed by a description of classifiers we developed that can accurately classify the mortality of social media profiles. These results shed initial lights into the ways in which people speak to the dead, and mark a first step toward accurately identifying mortality on a large scale.}
}

@inproceedings{icwsm2018-redditrules,
	author = {Casey Fiesler and Jialun "Aaron" Jiang and Joshua McCann and Kyle Frye and Jed R. Brubaker},
	title = {Reddit Rules! Characterizing an Ecosystem of Governance},
	booktitle = {Proceedings of the Twelfth International Conference on Web and Social Media (ICWSM-2018)},
	year = {2018},
	keywords = {governance; mixed methods; online communities; policy; reddit; social norms; terms of service},
	tags = {online-moderation},
	abstract = {The social sharing and news aggregation site Reddit provides a unique example of an ecosystem of community-created rules. Not only do individual subreddits create and enforce their own regulations, but site-wide guidelines and norms may also influence behavior. This paper reports on a mixed-methods study of 100,000 subreddits and their rules. Our findings characterize the types of rules across Reddit, the frequency of rules at scale, and patterns of rules based on subreddit characteristics. We find that rules appear to be context-dependent for individual subreddits but also share common characteristics across the site. Taken together, our findings provide a rich description of this ecosystem of rules, motivating further inquiry into underlying mechanisms for rule formation and enforcement in online communities.}
}

@article{cscw2018-mortality-classification,
	abstract = {User-generated content is central to social computing scholarship. However, researchers and practitioners often presume that these users are alive. Failing to account for mortality is problematic in social media where an increasing number of profiles represent those who have died. Identifying mortality can empower designers to better manage content and support the bereaved, as well as promote high-quality data science. Based on a computational linguistic analysis of post-mortem social media profiles and content, we report on classifiers developed to detect mortality and show that mortality can be determined after the first few occurrences of post-mortem content. Applying our classifiers to content from two other platforms also provided good results. Finally, we discuss trade-offs between models that emphasize pre- vs. post-mortem precision in this sensitive context. These results mark a first step toward identifying mortality at scale, and show how designers and scientists can attend to mortality in their work.},
	title = {Tending {Unmarked} {Graves}: {Classification} of {Post}-mortem {Content} on {Social} {Media}},
	volume = {2},
	number = {CSCW},
	journal = {Proc. ACM Hum.-Comput. Interact.},
	author = {Jialun "Aaron" Jiang and Jed R. Brubaker},
	year = {2018},
	pages = {Article 81},
	doi = {10.1145/3274350},
	tags = {death-sns, mortality-classification}
}

@inproceedings{chi2017-gif,
	address = {New York, New York, USA},
	author = {Jialun "Aaron" Jiang and Jed R. Brubaker and Casey Fiesler},
	booktitle = {Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems - CHI EA '17},
	doi = {10.1145/3027063.3053139},
	isbn = {9781450346566},
	keywords = {gifeels},
	tags = {gifeels},
	pages = {1726--1732},
	publisher = {ACM Press},
	title = {{Understanding Diverse Interpretations of Animated GIFs}},
	year = {2017}
}

@inproceedings{cscw2016-online-game,
 author = {Jialun "Aaron" Jiang and Svetlana Yarosh},
 title = {Why Do Teammates Hate Me? Cross-Cultural Tensions and Social Dynamics in Online Games},
 booktitle = {Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion},
 series = {CSCW '16 Companion},
 year = {2016},
 isbn = {978-1-4503-3950-6},
 location = {San Francisco, California, USA},
 pages = {301--304},
 numpages = {4},
 doi = {10.1145/2818052.2869087},
 publisher = {ACM},
 address = {New York, NY, USA}
}