Challenge: a longitudinal study of online social networks investigates the birth and spread of lexical innovations.
Approach: They investigate the birth and diffusion of lexical innovations in online communities . they build on sociolinguistic theories and focus on the relationship between the spread of a new term and the social role of the individuals who use it .
Outcome: The proposed method predicts whether an innovation will succeed in a community.

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The structure of online social networks modulates the rate of lexical change (2021.naacl-main)

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Challenge: lexical change is a prevalent process, as new words are added, thrive, and decline in day-to-day usage.
Approach: They conduct a large-scale analysis of over 80k neologisms in 4420 online communities over a decade and found that the community’s network structure plays a significant role in lexical change.
Outcome: The results show that the community’s network structure plays a significant role in lexical change.
Making “fetch” happen: The influence of social and linguistic context on nonstandard word growth and decline (D18-1)

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Challenge: In an online community, new words come and go, but language change is shaped and constrained by the grammatical system in which it takes part.
Approach: They analysed the frequency of non-standard words in reddit to determine their impact on language change.
Outcome: The results show that language change is shaped and constrained by the grammatical system in which it takes place.
Understanding Computational Models of Semantic Change: New Insights from the Speech Community (2023.emnlp-main)

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Challenge: Using type-level and token-level word embeddings, we obtain semantic change estimates from type-based models and empirical linguistic properties.
Approach: They analyze 40 target words with type-level and token-level word embeddings, empirical linguistic properties, and speaker-provided acceptability ratings and qualitative remarks.
Outcome: The proposed models are able to describe the sociolinguistic issue of contact-induced semantic shifts in Quebec English and are validated by qualitative interviews with 15 speakers from Montreal.
Language Technologies as If People Mattered: Centering Communities in Language Technology Development (2024.lrec-main)

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Challenge: Developing and deploying language technologies "as if people mattered" requires a reflexive and receptive approach, argues a new position paper .
Approach: They argue that researchers should address linguistic and algorithmic injustice together with language communities to build strong interdisciplinary teams.
Outcome: The authors argue that researchers should address social and linguistic injustice together with language communities to solve the challenges raised by language technologies.
Measuring and Modeling Language Change (N19-5)

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Challenge: This tutorial will help researchers answer questions fundamental to the social sciences and humanities .
Approach: This tutorial is designed to help researchers answer questions in the social sciences and humanities . it synthesizes recent computational techniques for handling and modeling temporal data .
Outcome: The tutorial will synthesize recent techniques for handling and modeling temporal data, such as dynamic word embeddings, and identify useful tools for social scientists and digital humanities scholars.
Findings of the Association for Computational Linguistics: EMNLP 2022 (2022.findings-emnlp)

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Challenge: null
Approach: null
Outcome: null
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop) (2025.acl-srw)

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Challenge: ACL 2025 Student Research Workshop is a forum for students conducting research in Computational Linguistics, Natural Language Processing, and Machine Learning.
Approach: the ACL 2025 Student Research Workshop will be held in conjunction with ACL 2020 . the virtual conference will be a forum for students conducting research in Computational Linguistics, Natural Language Processing, and Machine Learning.
Outcome: the ACL 2025 Student Research Workshop received 323 valid submissions this year . 104 papers accepted for oral presentation and poster presentations . final acceptance rate stands at 32.2%, consistent with last year's rate .
Findings of the Association for Computational Linguistics: NAACL 2022 (2022.findings-naacl)

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Challenge: . - (EN)
Approach: . - (EN)
Outcome: . - (EN)
Findings of the Association for Computational Linguistics: EMNLP 2020 (2020.findings-emnlp)

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Challenge: . - (EN)
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Outcome: . - (EN)
Findings of the Association for Computational Linguistics: EMNLP 2025 (2025.findings-emnlp)

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Challenge: null
Approach: null
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