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1	El sesgo ideológico en el discurso político de la prensa española: la reforma constitucional de 2011
	Ramos Ruiz, Álvaro; Ramos Ruiz, Ismael
	In: ISSN: 1576-4737 ; CIRCULO de Linguistica Aplicada a la Comunicacion ; https://hal.archives-ouvertes.fr/hal-03616798 ; CIRCULO de Linguistica Aplicada a la Comunicacion, Universidad Complutense de Madrid, 2022, 89, pp.171-182 (2022)
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2	Computational Measures of Deceptive Language: Prospects and Issues
	Tomas, Frédéric; Dodier, Olivier; Demarchi, Samuel
	In: ISSN: 2297-900X ; EISSN: 2297-900X ; Frontiers in Communication ; https://hal.archives-ouvertes.fr/hal-03629780 ; Frontiers in Communication, Frontiers, 2022, 7, pp.792378. ⟨10.3389/fcomm.2022.792378⟩ (2022)
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3	Labour market discrimination and biases in human judgement and Artificial Intelligence ...
	Patel, Krishane. - : Open Science Framework, 2022
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4	Linguistic intergroup bias and persistence of stereotype-affirming memory ...
	Lee, Junho. - : Open Science Framework, 2022
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5	Linguistic intergroup bias and persistence of stereotype-affirming memory - Addendum 04.26.2022 ...
	Lee, Junho. - : Open Science Framework, 2022
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6	Quality and Efficiency of Manual Annotation: Data from the Pre-annotation Bias Experiment (part of the PDT-C 2.0 project)
	Mikulová, Marie; Straka, Milan; Štěpánek, Jan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2022
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7	Threat assessment, sense making, and critical decision-making in police, military, ambulance, and fire services
	Penney, Greg; Launder, David; Cuthbertson, Joe...
	In: Research outputs 2022 to 2026 (2022)
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8	Exploring the links between student ethnicity, perceived SES and teachers' academic judgements ...
	Doyle, Lewis. - : Open Science Framework, 2022
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9	The influence of animacy on perspective-taking and word order during language production ...
	Brough, Jessica. - : Open Science Framework, 2022
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10	Measuring and Comparing Social Bias in Static and Contextual Word Embeddings
	Mora, Alan Cueva. - : Technological University Dublin, 2022
	In: Dissertations (2022)
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11	Assessing Gender Bias in Particle Physics and Social Science Recommendations for Academic Jobs
	Robert H. Bernstein; Michael W. Macy; Wendy M. Williams; Christopher J. Cameron; Sterling Chance Williams-Ceci; Stephen J. Ceci
	In: Social Sciences; Volume 11; Issue 2; Pages: 74 (2022)
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12	Language-Internal Reanalysis of Clitic Placement in Heritage Grammars Reduces the Cost of Computation: Evidence from Bulgarian
	Tanya Ivanova-Sullivan; Irina A. Sekerina; Davood Tofighi; Maria Polinsky
	In: Languages; Volume 7; Issue 1; Pages: 24 (2022)
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13	Measuring Gender Bias in Contextualized Embeddings
	Styliani Katsarou; Borja Rodríguez-Gálvez; Jesse Shanahan
	In: Computer Sciences & Mathematics Forum; Volume 3; Issue 1; Pages: 3 (2022)
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14	Gender Bias in Text: Labeled Datasets and Lexicons ...
	Doughman, Jad; Khreich, Wael. - : Zenodo, 2022
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15	Gender Bias in Text: Labeled Datasets and Lexicons ...
	Doughman, Jad; Khreich, Wael. - : Zenodo, 2022
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16	Gender Bias in Text: Labeled Datasets and Lexicons ...
	Doughman, Jad; Khreich, Wael. - : Zenodo, 2022
	Abstract: Language has a profound impact on our thoughts, perceptions, and conceptions of gender roles. Gender-inclusive language is, therefore, a key tool to promote social inclusion and contribute to achieving gender equality. Consequently, detecting and mitigating gender bias in texts is instrumental in halting its propagation and societal implications. However, there is a lack of gender bias datasets and lexicons for automating the detection of gender bias using supervised and unsupervised machine learning (ML) and natural language processing (NLP) techniques. Therefore, the main contribution of this work is to publicly provide labeled datasets and exhaustive lexicons by collecting, annotating, and augmenting relevant sentences to facilitate the detection of gender bias in English text. Towards this end, we present an updated version of our previously proposed taxonomy by re-formalizing its structure, adding a new bias type, and mapping each bias subtype to an appropriate detection methodology. The released ...
	Keyword: Dataset; Exclusionary Terms; Gender Bias; Generic Pronouns; Lexicon; Semantic Bias; Sexism; Stereotyping Bias
	URL: https://zenodo.org/record/5876790 https://dx.doi.org/10.5281/zenodo.5876790
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17	Promoting Equity and Engagement with Randomness
	Saiewitz, Aaron
	In: UNLV Best Teaching Practices Expo (2022)
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18	MaxEnt Learners are Biased Against Giving Probability to Harmonically Bounded Candidates
	O'Hara, Charlie
	In: Proceedings of the Society for Computation in Linguistics (2022)
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19	Prices are rising, wages are falling: Argument structure of verbs denoting ‘increase’ and ‘decrease’ in the Russian language
	Valentina Y. Apresjan
	In: Russian Journal of Linguistics, Vol 26, Iss 1, Pp 194-223 (2022) (2022)
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20	A unified analysis of polar particles in Farsi
	Mohammadi, Maryam
	In: Proceedings of the Linguistic Society of America; Vol 7, No 1 (2022): Proceedings of the Linguistic Society of America; 5268 ; 2473-8689 (2022)
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