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\n@incollection{kratschmer_how_2025,\n\taddress = {Singapore},\n\ttitle = {How citizens explain trust in vaccines. {Insights} from {Armenia}, {Brazil}, {Denmark}, and {Italy}},\n\tisbn = {978-981-9612-88-8},\n\turl = {http://www.scopus.com/inward/record.url?scp=105005037510&partnerID=8YFLogxK},\n\tabstract = {The chapter presents a linguistic-rhetorical analysis of Danish, Armenian, Brazilian, and Italian parents’ free-text explanations for their score (on a scale) for trust in vaccines. Our analysis showed that parents from all countries used similar rhetorical-linguistic patterns when giving arguments for their scores. These patterns varied according to the trust scores: typically, simple elaboration for both ends of the scale as opposed to more extensive elaboration for middle scores, a pattern equally shared by the data from all countries. Furthermore, we showed that our data patterns could successfully be mapped onto (Rowland et al. in Science and Education 31:1399-1424, 2022) trust construct components-unquestioned confidence, justified trust, and active distrust. Our dataset mirrored the single countries’ general tendencies as to trust in authorities as well as in vaccine technology as mapped in national statistics and scholarly investigations: high trust in vaccine technology in Denmark and Italy; relatively high trust in vaccine technology, but low trust in national authorities in Brazil; and very low trust in both vaccine technology and national authorities for Armenia. Finally, the highly elaborated free texts typically tied to the medium trust scores also showed that non-expert citizens actively engage with complex information, weighing pros and cons, and drawing their own conclusions.},\n\turldate = {2025-07-09},\n\tbooktitle = {Science {Communication} and {Trust}},\n\tpublisher = {Palgrave Macmillan},\n\tauthor = {Kratschmer, Alexandra Regina and Braga Mattos, Ana Paulla and Ishkhanyan, Byurakn and Baglini, Rebekah Brita and Tørring, Marie Louise},\n\teditor = {Fage-Butler, Antoinette and Ledderer, Loni and Nielsen, Kristian Hvidtfelt},\n\tmonth = jan,\n\tyear = {2025},\n\tdoi = {10.1007/978-981-96-1289-5_22},\n\tkeywords = {Argument structure, Armenia, Brazil, Childhood vaccines, Denmark, Italy, Linguistic-rhetorical analysis, Non-expert citizens, Science-based technology, Source of information, Utterance-related attitudes, Vaccine attitudes},\n\tpages = {449--470},\n}\n\n
@article{nielbo_quantitative_2024,\n\ttitle = {Quantitative text analysis},\n\tvolume = {4},\n\tissn = {2662-8449},\n\turl = {http://www.scopus.com/inward/record.url?scp=85190246990&partnerID=8YFLogxK},\n\tdoi = {10.1038/s43586-024-00302-w},\n\tabstract = {Text analysis has undergone substantial evolution since its inception, moving from manual qualitative assessments to sophisticated quantitative and computational methods. Beginning in the late twentieth century, a surge in the utilization of computational techniques reshaped the landscape of text analysis, catalysed by advances in computational power and database technologies. Researchers in various fields, from history to medicine, are now using quantitative methodologies, particularly machine learning, to extract insights from massive textual data sets. This transformation can be described in three discernible methodological stages: feature-based models, representation learning models and generative models. Although sequential, these stages are complementary, each addressing analytical challenges in the text analysis. The progression from feature-based models that require manual feature engineering to contemporary generative models, such as GPT-4 and Llama2, signifies a change in the workflow, scale and computational infrastructure of the quantitative text analysis. This Primer presents a detailed introduction of some of these developments, offering insights into the methods, principles and applications pertinent to researchers embarking on the quantitative text analysis, especially within the field of machine learning.},\n\tnumber = {25},\n\turldate = {2025-07-09},\n\tjournal = {Nature Reviews Methods Primers},\n\tauthor = {Nielbo, Kristoffer Laigaard and Karsdorp, Folgert and Wevers, Melvin and Lassche, Alie and Baglini, Rebekah Brita and Kestemont, Mike and Tahmasebi, Nina},\n\tmonth = apr,\n\tyear = {2024},\n}\n\n\n\n\n
@article{nielbo_pandemic_2023,\n\ttitle = {Pandemic news information uncertainty: {News} dynamics mirror differential response strategies to {COVID}-19},\n\tvolume = {18},\n\tissn = {1932-6203},\n\tshorttitle = {Pandemic news information uncertainty},\n\tdoi = {10.1371/journal.pone.0278098},\n\tabstract = {National differences in uncertainty, inequality, and trust have been accentuated by COVID-19. There are indications that the pandemic has impacted societies characterized by high uncertainty, inequality, and low trust harder than societies characterized by low uncertainty, equality, and high trust. This study investigates differential response strategies to COVID-19 as reflected in news media of two otherwise similar low uncertainty societies: Denmark and Sweden. The comparison is made using a recent approach to information dynamics in unstructured data. The main findings are that the news dynamics generally mirror public-health policies, capture fundamental socio-cultural variables related to uncertainty and trust, and may provide a measure of societal uncertainty. The findings can provide insights into evolutionary trajectories of decision-making under high uncertainty and, from a methodological level, be used to develop a media-based index of uncertainty and trust.},\n\tnumber = {1},\n\tjournal = {P L o S One},\n\tauthor = {Nielbo, Kristoffer Laigaard and Enevoldsen, Kenneth and Baglini, Rebekah Brita and Fano, Elena and Roepstorff, Andreas and Gao, Jianbo},\n\tmonth = jan,\n\tyear = {2023},\n}\n\n\n\n\n
@inproceedings{waade_synergy_2023,\n\ttitle = {Synergy and {Synchrony} in {Dynamic} {Social} {Coordination}: {A} {Motion} {Capture} {Study} of {Improvised} {Lindy} {Hop} {Partner} {Dance}},\n\tshorttitle = {Synergy and {Synchrony} in {Dynamic} {Social} {Coordination}},\n\tauthor = {Waade, Peter Thestrup and Zubek, Julian and Foster Vander Elst, Olivia and Ring, Luke and Slivkaitė, Rūta and Zamm, Anna and Baglini, Rebekah Brita and Bamford, Joshua S. and Rosas, Fernando E. and Mediano, Pedro A.M. and Vesper, Cordula and Tylén, Kristian},\n\tmonth = jul,\n\tyear = {2023},\n}\n\n\n\n\n
@article{haber_causal_2022,\n\ttitle = {Causal and associational language in observational health research: {A} systematic evaluation},\n\tvolume = {191},\n\tissn = {0002-9262},\n\tshorttitle = {Causal and associational language in observational health research},\n\turl = {http://www.scopus.com/inward/record.url?scp=85143180957&partnerID=8YFLogxK},\n\tdoi = {10.1093/aje/kwac137},\n\tabstract = {We estimated the degree to which language used in the high-profile medical/public health/epidemiology literature implied causality using language linking exposures to outcomes and action recommendations; examined disconnects between language and recommendations; identified the most common linking phrases; and estimated how strongly linking phrases imply causality. We searched for and screened 1,170 articles from 18 high-profile journals (65 per journal) published from 2010–2019. Based on written framing and systematic guidance, 3 reviewers rated the degree of causality implied in abstracts and full text for exposure/outcome linking language and action recommendations. Reviewers rated the causal implication of exposure/outcome linking language as none (no causal implication) in 13.8\\%, weak in 34.2\\%, moderate in 33.2\\%, and strong in 18.7\\% of abstracts. The implied causality of action recommendations was higher than the implied causality of linking sentences for 44.5\\% or commensurate for 40.3\\% of articles. The most common linking word in abstracts was “associate” (45.7\\%). Reviewers’ ratings of linking word roots were highly heterogeneous; over half of reviewers rated “association” as having at least some causal implication. This research undercuts the assumption that avoiding “causal” words leads to clarity of interpretation in medical research.},\n\tnumber = {12},\n\turldate = {2025-07-09},\n\tjournal = {American Journal of Epidemiology},\n\tauthor = {Haber, Noah and Wieten, Sarah and Rohrer, Julia and Arah, Onyebuchi and Tennant, Peter and Stuart, Elizabeth and Murray, Eleanor and Pilleron, Sophie and Lam, Sze Tung and Riederer, Emily and Howcutt, Sarah Jane and Simmons, Alison and Leyrat, Clémence and Schoenegger, Philipp and Booman, Anna and Dufour, Mi-Suk Kang and O'Donoghue, Ashley and Baglini, Rebekah Brita},\n\tmonth = dec,\n\tyear = {2022},\n\tkeywords = {association, causal inference, causal language, observational study},\n\tpages = {2084--2097},\n}\n\n\n\n\n
@article{baglini_emodynamics_2022,\n\tseries = {{CEUR} {Workshop} {Proceedings}},\n\ttitle = {Emodynamics: 2022 {Computational} {Humanities} {Research} {Conference}, {CHR} 2022},\n\tshorttitle = {Emodynamics},\n\tjournal = {Proceedings of the Computational Humanities Research Conference 2022},\n\tauthor = {Baglini, Rebekah Brita and Østergaard, Sara Møller and Larsen, Stine Nyhus and Nielbo, Kristoffer Laigaard},\n\tmonth = nov,\n\tyear = {2022},\n\tnote = {Publisher: CEUR-WS.org},\n\tkeywords = {change point detection, covid-19, information theory, social media},\n\tpages = {162--176},\n}\n\n\n\n\n\n\n\n\n
@article{johansen_ridiculing_2022,\n\ttitle = {Ridiculing the “tinfoil hats:” {Citizen} responses to {COVID}-19 misinformation in the {Danish} facemask debate on {Twitter}},\n\tvolume = {3},\n\tissn = {2766-1652},\n\tshorttitle = {Ridiculing the “tinfoil hats},\n\turl = {http://www.scopus.com/inward/record.url?scp=85128869312&partnerID=8YFLogxK},\n\tdoi = {10.37016/mr-2020-93},\n\tabstract = {We study how citizens engage with misinformation on Twitter in Denmark during the COVID-19 pandemic. We find that misinformation regarding facemasks is not corrected through counter-arguments or fact-checking. Instead, many tweets rejecting misinformation use humor to mock misinformation spreaders, whom they pejoratively label wearers of “tinfoil hats.” Tweets rejecting misinformation project a superior social position and leave the concerns of misinformation spreaders unaddressed. Our study highlights the role of status in people’s engagement with online misinformation.},\n\tnumber = {2},\n\turldate = {2025-07-09},\n\tjournal = {Harvard Kennedy School Misinformation Review},\n\tauthor = {Johansen, Niklas and Marjanovic, Sara Vera and Kjaer, Cathrine Valentin and Baglini, Rebekah Brita and Adler-Nissen, Rebecca},\n\tmonth = mar,\n\tyear = {2022},\n\tkeywords = {covid-19, misinformation, social media},\n}\n\n\n\n\n\n\n\n\n
@article{kjaer_misinformation_2022,\n\ttitle = {Misinformation, social status og latterliggørelse: en undersøgelse af danskeres spredning af og reaktioner på {Covid}-19 misinformation på {Twitter}},\n\tvolume = {54},\n\tissn = {0105-0710},\n\tshorttitle = {Misinformation, social status og latterliggørelse},\n\tdoi = {10.7146/politica.v54i2.132521},\n\tabstract = {How do Danes interact with misinformation on social media? What statements and arguments do they use to spread and counter misinformation? We investigate digital misinformation during the Covid-19 pandemic and analyze how citizens spread and reject misinformation about bandages on Twitter in Denmark, respectively. Our investigation shows that the extent of misinformation is limited, but that false claims are less counteracted through correction or dialogue. Instead, users who reject the misinformation often use irony and condescending comments to distance themselves from those who spread the misinformation and whose concerns are thus not taken seriously. The results raise questions about users' ability to correct misinformation online and point to the importance of group affiliation and social status not just in dissemination,},\n\tnumber = {2},\n\tjournal = {Politica - Tidsskrift for politisk videnskab},\n\tauthor = {Kjaer, Cathrine Valentin and Johansen, Niklas and Marjanovic, Sara Vera and Baglini, Rebekah Brita and Adler-Nissen, Rebecca},\n\tmonth = may,\n\tyear = {2022},\n\tkeywords = {Twitter, covid-19, humor, misinformation},\n\tpages = {129--147},\n}\n\n\n\n\n
@article{nielbo_information_2022,\n\ttitle = {Information {Decoupling} as a {Pandemic} {Signature} in {News} {Media}: {Digital} {Humanities} in the {Nordic} and {Baltic} {Countries} {Conference} ({DHNB} 2022)},\n\tshorttitle = {Information {Decoupling} as a {Pandemic} {Signature} in {News} {Media}},\n\tabstract = {As the first wave of Covid-19 virus spread across the world, content alignment of news stories could be observed both within and between media sources. Initially, news stories were interspersed with news coverage of other events, but as the virus spread across the world, news media focused almost exclusively on the pandemic. From the perspective of cultural dynamics, the Covid-19 pandemic provides a natural experiment that allows us to study the effect of a global catastrophe on the the dynamics of news media’s information. While news media are neither unbiased nor infallible as sources of events, they do reflect preferences, values, and desires of a wide socio-cultural and political user spectrum. As such, news media coverage of Covid-19 functions as a proxy for how cultural information systems respond to unexpected and dangerous events.Previous studies have shown that variation in newspapers’ word usage is sensitive to the dynamics of socio-cultural events [1, 2], can be used to model effects of change [3], and can accurately capture thematic development indicative of the evolution of cultural values and biases [4-5]. Recently, a set of methodologically related studies studies have applied windowed relative entropy to text representations in order to model information novelty as a reliable content difference from the past and resonance as the degree to which future information conforms to said novelty [6, 7]. Recent studies have found that successful social media content show a strong association between novelty and resonance, and that variation in the novelty-resonance association can predict significant change points in historical data [8, 9]. In this study we expand upon studies of novelty and resonance in cultural dynamics by modeling change in printed news media during the initial phase of Covid-19. Specifically, we propose an empirically derived principle of News Information Decoupling, which can explain how the information flow in newsmedia responds to events of a catastrophic nature.Bibliography [1] J. Guldi, The Measures of Modernity, International Journal for History, Culture and Modernity 7 (2019) 899–93.[2] M. Kestemont et al, Mining the Twentieth Century’s History from the Time Magazine Corpus, in: Proceedings of the 8th LaTeCH 2014.[3] P. Bos et al, Quantifying Pillarization, Proceedings of the 3rd HistoInformatics Workshop (2016) 10.[4] M. Wevers, Using Word Embeddings to Examine Gender Bias in Dutch Newspapers, 1950-1990, in: Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, 2019.[5] M. Wevers et al., Tracking the Consumption Junction: Temporal Dependencies between Articles and Advertisements in Dutch Newspapers,DHQ 14 (2020).[6] A. T. J. Barron et al, Individuals, institutions, and innovation in the debates of the French Revolution, PNAS 115 (2018).[7] J. Murdock et al, Exploration and Exploitation of Victorian Science in Darwin’s Reading Notebooks, arXiv:1509.07175 (2015).[8] K. Nielbo et al., Trend Reservoir Detection: Minimal Persistence and Resonant Behavior of Trends in Social Media, Proceedings of Computational Humanities Research 1 (2021).[9] E. Vrangbæk et al, Composition and Change in De Civitate Dei: A Case Studyof Computationally Assisted Methods, Studia Patristica (2021).},\n\tauthor = {Nielbo, Kristoffer Laigaard and Baglini, Rebekah Brita and Roepstorff, Andreas},\n\tyear = {2022},\n\tkeywords = {Adaptive filtering, Change detection, Information theory, Newspapers, Pandemic response},\n}\n\n\n\n\n
@article{nielbo_when_2022,\n\ttitle = {When {No} {News} is {Bad} {News}. {News}-based {Change} {Detection} {During} {COVID}-19: {DH} {Benelux} 2021},\n\tvolume = {4},\n\tissn = {2666-6952},\n\tshorttitle = {When {No} {News} is {Bad} {News}. {News}-based {Change} {Detection} {During} {COVID}-19},\n\tdoi = {10.17613/03ds-9973},\n\tjournal = {DH Benelux Journal},\n\tauthor = {Nielbo, Kristoffer Laigaard and Hæstrup, Frida and Enevoldsen, Kenneth and Vahlstrup, Peter Bjerregaard and Baglini, Rebekah Brita and Roepstorff, Andreas},\n\tmonth = jul,\n\tyear = {2022},\n\tpages = {107--120},\n}\n\n\n\n\n\n\n\n\n
@article{baglini_multilingual_2021,\n\ttitle = {Multilingual {Sentiment} {Normalization} for {Scandinavian} {Languages}},\n\tvolume = {12},\n\tissn = {1904-7843},\n\turl = {https://tidsskrift.dk/sss/article/view/130068},\n\tdoi = {10.7146/sss.v12i1.130068},\n\tabstract = {In this paper, we address the challenge of multilingual sentiment analysis using a traditional lexicon and rule-based sentiment instrument that is tailored to capture sentiment patterns in a particular language. Focusing on a case study of three closely related Scandinavian languages (Danish, Norwegian, and Swedish) and using three tailored versions of VADER, we measure the relative degree of variation in valence using the OPUS corpus. We found that scores for Swedish are systematically skewed lower than Danish for translational pairs, and that scores for Norwegian are skewed higher for both other languages. We use a neural network to optimize the fit between Norwegian and Swedish respectively and Danish as the reference (target) language.},\n\tnumber = {1},\n\turldate = {2025-07-09},\n\tjournal = {Scandinavian Studies in Language},\n\tauthor = {Baglini, Rebekah Brita and Hansen, Lasse and Enevoldsen, Kenneth Christian and Nielbo, Kristoffer Laigaard},\n\tmonth = dec,\n\tyear = {2021},\n\tpages = {50--64},\n}\n\n\n\n\n\n\n\n\n\n\n\n\n
@article{baglini_when_2021,\n\ttitle = {When no news is bad news: {Detection} of negative events from news media content: {Digital} {Humanities} {Benelux}},\n\tshorttitle = {When no news is bad news},\n\turl = {https://2021.dhbenelux.org/home/abstracts/#nielbo},\n\tabstract = {During the first wave of Covid-19 information decoupling could be observed in the flow of news media content. The corollary of the content alignment within and between news sources experienced by readers (i.e., all news transformed into Corona-news), was that the novelty of news content went down as media focused monotonically on the pandemic event. This all-important Covid-19 news theme turned out to be quite persistent as the pandemic continued, resulting in the, from a news media’s perspective, paradoxical situation where the same news was repeated over and over. This information phenomenon, where novelty decreases and persistence increases, has previously been used to track change in news media, but in this study we specifically test the claim that new information decoupling behavior of media can be used to reliably detect change in news media content originating in a negative event, using a Bayesian approach to change point detection.},\n\turldate = {2025-07-09},\n\tauthor = {Baglini, Rebekah Brita and Nielbo, Kristoffer Laigaard and Hæstrup, Frida and Enevoldsen, Kenneth and Vahlstrup, Peter Bjerregaard and Roepstorff, Andreas},\n\tmonth = jun,\n\tyear = {2021},\n\tkeywords = {Digital humanities, NLP, news media},\n}\n\n\n\n\n
@article{kratschmer_mixed-methods_2021,\n\ttitle = {A mixed-methods cross-cultural study on the vaccination debate on social media: {Online} {Disinformation}: an integrated view},\n\tshorttitle = {A mixed-methods cross-cultural study on the vaccination debate on social media},\n\tauthor = {Kratschmer, Alexandra Regina and Baglini, Rebekah Brita and Ishkhanyan, Byurakn and Braga Mattos, Ana Paulla},\n\tmonth = feb,\n\tyear = {2021},\n}\n\n\n\n\n
@article{baglini_natural_2021,\n\ttitle = {Natural {Language} {Processing} 4 {All} ({NLP4All}): 2021 {Annual} {Conference} of the {North} {American} {Chapter} of the {Association} for {Computational} {Linguistics}},\n\tshorttitle = {Natural {Language} {Processing} 4 {All} ({NLP4All})},\n\turl = {http://www.scopus.com/inward/record.url?scp=85113646844&partnerID=8YFLogxK},\n\tdoi = {10.18653/v1/2021.teachingnlp-1.3},\n\tabstract = {Natural Language Processing offers new insights into language data across almost all disciplines and domains, and allows us to corroborate and/or challenge existing knowledge. The primary hurdles to widening participation in and use of these new research tools are, first, a lack of coding skills in students across K-16, and in the population at large, and second, a lack of knowledge of how NLP-methods can be used to answer questions of disciplinary interest outside of linguistics and/or computer science. To broaden participation in NLP and improve NLP-literacy, we introduced a new tool web-based tool called Natural Language Processing 4 All (NLP4All). The intended purpose of NLP4All is to help teachers facilitate learning with and about NLP, by providing easy-to-use interfaces to NLP-methods, data, and analyses, making it possible for non- and novice-programmers to learn NLP concepts interactively.},\n\turldate = {2025-07-09},\n\tjournal = {Teaching NLP 2021 - Proceedings of the 5th Workshop on Teaching Natural Language Processing},\n\tauthor = {Baglini, Rebekah Brita and Hjorth, Hermes Arthur},\n\teditor = {Jurgens, David and Kolhatkar, Varada and Li, Lucy and Mieskes, Margot and Pedersen, Ted},\n\tyear = {2021},\n\tnote = {Publisher: Association for Computational Linguistics},\n\tkeywords = {Machine learning, NLP, Natural Language Processing, learning sciences, pedagogy, teaching},\n\tpages = {28--33},\n}\n\n\n\n\n\n\n\n\n
@inproceedings{nielbo_news_2021,\n\ttitle = {News {Information} {Decoupling}: {An} {Information} {Signature} of {Catastrophes} in {Legacy} {News} {Media}: {EADH2021} "{Interdisciplinary} {Perspectives} on {Data}"},\n\tshorttitle = {News {Information} {Decoupling}},\n\tabstract = {Content alignment in news media was an observable information effect of\nCovid-19's initial phase. During the first half of 2020, legacy news\nmedia became "corona news" following national outbreak and crises\nmanagement patterns. While news media are neither unbiased nor\ninfallible as sources of events, they do provide a window into\nsocio-cultural responses to events. In this paper, we use legacy print\nmedia to empirically derive the principle News Information Decoupling\n(NID) that functions as an information signature of culturally\nsignificant catastrophic event. Formally, NID can provide input to\nchange detection algorithms and points to several unsolved research\nproblems in the intersection of information theory and media studies.},\n\tauthor = {Nielbo, Kristoffer L. and Baglini, Rebekah B. and Vahlstrup, Peter B. and Enevoldsen, Kenneth C. and Bechmann, Anja and Roepstorff, Andreas},\n\tmonth = jan,\n\tyear = {2021},\n\tkeywords = {Computer Science - Computers and Society},\n}\n\n\n\n\n
@misc{noauthor_webcast_2021,\n\ttitle = {Webcast: {How} to do a great peer review: {Mind} your language; take your time; practice makes perfect. {Three} experts share their advice.},\n\tshorttitle = {Webcast},\n\turl = {https://www.youtube.com/watch?v=C0cchYD9hpY&t=1s},\n\tabstract = {This Nature Careers webinar is now available to view as video-on-demand. In the 60-minute session, three speakers share their advice, approaches and opinions on peer review, before spending some time answering questions from Nature’s readers.},\n\turldate = {2025-07-09},\n\tpublisher = {Nature Publishing},\n\tmonth = apr,\n\tyear = {2021},\n\tkeywords = {linguistics, peer review},\n}\n\n\n\n\n
@article{nielbo_news_2021,\n\ttitle = {News {Information} {Decoupling}: {An} {Information} {Signature} of {Catastrophes} in {Legacy} {News} {Media}},\n\tshorttitle = {News {Information} {Decoupling}},\n\tdoi = {10.48550/arXiv.2101.02956},\n\tabstract = {Content alignment in news media was an observable information effect of Covid-19's initial phase. During the first half of 2020, legacy news media became "corona news" following national outbreak and crises management patterns. While news media are neither unbiased nor infallible as sources of events, they do provide a window into socio-cultural responses to events. In this paper, we use legacy print media to empirically derive the principle News Information Decoupling (NID) that functions as an information signature of culturally significant catastrophic event. Formally, NID can provide input to change detection algorithms and points to several unsolved research problems in the intersection of information theory and media studies.},\n\tjournal = {News Information Decoupling},\n\tauthor = {Nielbo, Kristoffer L. and Baglini, Rebekah B. and Vahlstrup, Peter B. and Enevoldsen, Kenneth C. and Bechmann, Anja and Roepstorff, Andreas},\n\tmonth = jan,\n\tyear = {2021},\n}\n\n\n\n\n\n\n\n\n
@article{nielbo_when_2021,\n\ttitle = {When no news is bad news--{Detection} of negative events from news media content},\n\tdoi = {10.48550/arXiv.2102.06505},\n\tabstract = {During the first wave of Covid-19 information decoupling could be observed in the flow of news media content. The corollary of the content alignment within and between news sources experienced by readers (i.e., all news transformed into Corona-news), was that the novelty of news content went down as media focused monotonically on the pandemic event. This all-important Covid-19 news theme turned out to be quite persistent as the pandemic continued, resulting in the, from a news media's perspective, paradoxical situation where the same news was repeated over and over. This information phenomenon, where novelty decreases and persistence increases, has previously been used to track change in news media, but in this study we specifically test the claim that new information decoupling behavior of media can be used to reliably detect change in news media content originating in a negative event, using a Bayesian approach to change point detection.},\n\tjournal = {When no news is bad news--Detection of negative events from news media content},\n\tauthor = {Nielbo, Kristoffer Laigaard and Hæstrup, Frida and Enevoldsen, Kenneth and Vahlstrup, Peter Bjerregaard and Baglini, Rebekah Brita and Roepstorff, Andreas},\n\tyear = {2021},\n\tnote = {Publisher: ArXiv},\n\tkeywords = {Bayesian Change Detection, Information Theory, Newspapers, Pandemic Response},\n}\n\n\n\n\n\n\n\n\n
@article{parsons_peer_2021,\n\ttitle = {Peer review: the case for neutral language},\n\tvolume = {25},\n\tissn = {1364-6613},\n\tshorttitle = {Peer review},\n\tdoi = {10.1016/j.tics.2021.05.003},\n\tabstract = {Peer review is an integral part of scientific life, determining success in publishing, grant applications, and professional appointments. We argue for the importance of neutral language in peer review and provide examples of nonneutral linguistic and stylistic devices that emphasize a reviewer's personal response to the manuscript rather than their objective assessment.},\n\tnumber = {8},\n\tjournal = {Trends in Cognitive Sciences},\n\tauthor = {Parsons, Christine E and Baglini, Rebekah B},\n\tmonth = aug,\n\tyear = {2021},\n\tkeywords = {bias, dissemination, funding, publishing, scientific communication},\n\tpages = {639--641},\n}\n\n\n\n\n
@article{baglini_if_2020,\n\ttitle = {If you can't be kind in peer review, be neutral},\n\tissn = {0028-0836},\n\tdoi = {10.1038/d41586-020-03394-y},\n\tjournal = {Nature},\n\tauthor = {Baglini, Rebekah Brita and Parsons, Christine},\n\tmonth = nov,\n\tyear = {2020},\n}\n\n\n\n\n
@article{stromberg-derczynski_danish_2020,\n\ttitle = {The {Danish} {Gigaword} {Project}},\n\tabstract = {Danish is a North Germanic/Scandinavian language spoken primarily in Denmark, a country with a tradition of technological and scientific innovation. However, from a technological perspective, the Danish language has received relatively little attention and, as a result, Danish language technology is hard to develop, in part due to a lack of large or broad-coverage Danish corpora. This paper describes the Danish Gigaword project, which aims to construct a freely-available one billion word corpus of Danish text that represents the breadth of the written language.},\n\tjournal = {The Danish Gigaword Project},\n\tauthor = {Strømberg-Derczynski, Leon and Baglini, Rebekah and Christiansen, Morten H. and Ciosici, Manuel R. and Dalsgaard, Jacob Aarup and Fusaroli, Riccardo and Henrichsen, Peter Juel and Hvingelby, Rasmus and Kirkedal, Andreas and Kjeldsen, Alex Speed and Ladefoged, Claus and Nielsen, Finn Årup and Petersen, Malte Lau and Rystrøm, Jonathan Hvithamar and Varab, Daniel},\n\tmonth = may,\n\tyear = {2020},\n\tnote = {Publisher: ArXiv},\n\tkeywords = {cs.CL},\n}\n\n\n\n\n\n\n\n\n
@article{baglini_direct_2019,\n\tseries = {Penn {Working} {Papers} in {Linguistics}},\n\ttitle = {Direct vs. indirect causation: {A} new approach to an old question: 43rd {Annual} {Penn} {Linguistics} {Colloquium}},\n\tshorttitle = {Direct vs. indirect causation},\n\tabstract = {Causative constructions come in lexical and periphrastic variants, exemplified in English by 'Sam killed Lee' and 'Sam caused Lee to die'. While use of the former, the lexical causative, entails the truth of the latter, an entailment in the other direction does not hold. The source of this asymmetry is commonly ascribed to the lexical causative having an additional prerequisite of “direct causation", such that the causative relation holds between a contiguous cause and effect (Fodor 1970, Katz 1970). However, this explanation encounters both empirical and theoretical problems (Nelleman \\& van der Koot 2012). To explain the source of the directness inferences (as well as other longstanding puzzles), we propose a formal analysis based on the framework of Structural Equation Models (SEMs) (Pearl 2000) which provides the necessary background for licensing causal inferences. Specifically, we provide a formalization of a 'sufficient set of conditions' within a model and demonstrate its role in the selectional parameters of causative descriptions. We argue that “causal sufficiency” is not a property of singular conditions, but rather sets of conditions, which are individually necessary but only sufficient when taken together (a view originally motivated in the philosophical literature by Mackie 1965). We further introduce the notion of a “completion event” of a sufficient set, which is critical to explain the particular inferential profile of lexical causatives.},\n\tjournal = {Proceedings of the 43rd Annual Penn Linguistics Conference},\n\tauthor = {Baglini, Rebekah Brita and Bar-Asher Siegal, Elitzur},\n\tyear = {2019},\n\tnote = {Place: Philadelphia, PA\nPublisher: University of Pennsylvania},\n\tkeywords = {causal models, causatives, lexical semantics, philosophy of language, pragmatics, semantics},\n}\n\n\n\n\n
@incollection{baglini_adjectives_2019,\n\taddress = {Oxford},\n\ttitle = {Adjectives and {Event} {Structure}},\n\tisbn = {978-0-19-968531-8},\n\tabstract = {This chapter investigates the relationship between adjectives and event structure by looking at properties of deverbal adjectives and deadjectival verbs. Although simple adjectives are not eventive, they nevertheless play an important role in matters of event structure, both in the way that they influence the eventive properties of verbs that they are derivationally related to, and in the way that an understanding of the scalar properties of adjectival meaning informs theorizing about eventive meanings. Although often considered in isolation, we show that adjectival gradability and verbal aspect are intimately related scalar phenomena. The structural properties of an adjectival scale determine the aspectual class of a derived event predicate. Similarly, the aspectual structure of a verb phrase constrains the scale structure of an adjectival participle. Our discussion focuses primarily on degree-based approaches to these phenomena, but we also consider alternative approaches based in a more articulated ontology for states.},\n\tbooktitle = {The {Oxford} handbook of event structure},\n\tpublisher = {Oxford University Press},\n\tauthor = {Baglini, Rebekah Brita and Kennedy, Christopher},\n\teditor = {Truswell, Robert},\n\tmonth = mar,\n\tyear = {2019},\n\tdoi = {10.1093/oxfordhb/9780199685318.013.17},\n\tkeywords = {Event structure, Lexical categories, Lexical semantics, Semantics},\n\tpages = {368--392},\n}\n\n\n\n\n
@inproceedings{baglini_structuring_2019,\n\ttitle = {Structuring a model for lexical causatives: {The} 11th {Semantics} and {Philosophy} in {Europe} {Colloquium}},\n\tshorttitle = {Structuring a model for lexical causatives},\n\turl = {https://spe2019.uw.edu.pl/program_spe2019.pdf},\n\turldate = {2025-07-09},\n\tauthor = {Baglini, Rebekah Brita and Bar-Asher Siegal, Elitzur},\n\tmonth = sep,\n\tyear = {2019},\n}\n\n\n\n\n
@book{gonzalez_digital_2018,\n\taddress = {New York, NY},\n\ttitle = {Digital image processing},\n\tisbn = {978-0-13-335672-4},\n\tlanguage = {en},\n\tpublisher = {Pearson},\n\tauthor = {Gonzalez, Rafael C. and Woods, Richard E.},\n\tyear = {2018},\n\tkeywords = {Digital techniques, Image processing},\n}\n\n\n\n\n
@article{baglini_implications_2016,\n\ttitle = {The implications of managing},\n\tvolume = {33},\n\tissn = {0167-5133},\n\turl = {http://www.scopus.com/inward/record.url?scp=85011017840&partnerID=8YFLogxK},\n\tdoi = {10.1093/jos/ffv007},\n\tabstract = {Since Karttunen’s original observations about the two-way implicative verb manage, there has been no consensus as to the descriptive and analytical characterization of the implicational behavior of this verb. This short paper presents a reevaluation of the relevant descriptive generalizations, and proposes an analysis, couched within the causal modeling approach to causation developed by Schulz (2011). We propose that manage sentences presuppose the familiarity of a ‘catalyst’—a causally necessary but insufficient condition for the truth of the propositional argument of manage, and assert that the catalyst actually caused this truth. Various more specific implications mentioned in the literature—trying, difficulty, unlikelihood—are shown to be either special cases of our proposed presupposition, or else cancelable pragmatic inferences. The analysis is argued to account for some new empirical observations as well.},\n\tnumber = {3},\n\turldate = {2025-07-09},\n\tjournal = {Journal of Semantics},\n\tauthor = {Baglini, Rebekah and Francez, Itamar},\n\tmonth = aug,\n\tyear = {2016},\n\tkeywords = {Implicative verbs, Linguistics, Pragmatics, Semantics},\n\tpages = {541--560},\n}\n\n\n\n\n