Papers by Joel Mire

5 papers
The Empirical Variability of Narrative Perceptions of Social Media Texts (2024.emnlp-main)

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Challenge: Identifying stories in social media texts provides a lens through which we can study how individuals and communities process and communicate experiences.
Approach: They construct a taxonomy of crowd workers’ varied and nuanced perceptions of storytelling by open-coding their free-text rationales.
Outcome: The proposed model shows that crowd workers disagree on categorical labels, free-text storytelling rationales, authorial intent, and more.
HEART-felt Narratives: Tracing Empathy and Narrative Style in Personal Stories with LLMs (2024.emnlp-main)

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Challenge: Empathy is a foundational psychological process that drives many prosocial functions.
Approach: They propose a theory-based taxonomy that delineates elements of narrative style that can lead to empathy with the narrator of a story.
Outcome: The proposed taxonomy delineates elements of narrative style that can lead to empathy with the narrator of a story.
Rejected Dialects: Biases Against African American Language in Reward Models (2025.findings-naacl)

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Challenge: Preference alignment via reward models can introduce new biases, hindering reward models’ fairness and equity.
Approach: They propose a framework for evaluating dialect biases in reward models and conduct a case study on biase . they compare reward models' preferences and behavior on paired White Mainstream English and machine-translated and human-written AAL corpora.
Outcome: The proposed framework evaluates dialect biases in reward models and compares them with paired White Mainstream English (WME) and machine-translated and human-written AAL corpora.
Social Story Frames: Contextual Reasoning about Narrative Intent and Reception (2026.acl-long)

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Challenge: SocialStoryFrames is a formalism for distilling plausible inferences about reader response . authors characterize frequency and interdependence of storytelling intents across communities .
Approach: They propose a formalism for distilling plausible inferences about reader response using conversational context and a taxonomy grounded in narrative theory, linguistic pragmatics, and psychology.
Outcome: The proposed model can be used to analyze reader responses in online communities.
Where Do People Tell Stories Online? Story Detection Across Online Communities (2024.acl-long)

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Challenge: Story detection in online communities is a challenging task as stories are scattered across communities and interwoven with non-storytelling spans within a single text.
Approach: They propose a toolkit to detect stories in online communities using an annotated reddit dataset and a codebook adapted to social media context.
Outcome: The proposed toolkit includes an annotation-rich dataset of 502 Reddit posts and comments . it also includes a codebook adapted to the social media context and models to predict storytelling at document and span levels.

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