Abstract We investigated whether the use of hate speech by politicians impacts the social evaluation of their image, as measured by the semantic differential method developed by Cwalina et al. (2000). The participants (N = 105, Polish nationals) evaluated the profiles of three well-known Polish politicians from different parties – Krzysztof Bosak, Radosław Sikorski, and Włodzimierz Czarzasty – and a fictional politician named Jacek Wiśniewski. Participants made evaluations before and after reading hateful posts from each politician. The participants’ political views and their alignment with the electoral programs of the politicians being evaluated, as well as demographic variables such as gender and age were also measured. The results showed that hate speech adversely affected the politician’s image, as evaluated by the participants. As a consequence of the experimental manipulation, all of the politicians whose profiles were presented for evaluation were judged more negatively. In particular, the negative evaluations concerned the politicians’ competences (unqualified and provincial), their emotionality (excitable and aggressive), and their attitude towards other people (insincere and unfriendly). Detailed analyses also showed that: (a) respondents who sympathized with the views of specific politicians tended to evaluate them more positively, (b) hate speech was more harmful to the image of politicians judged by women than by men, and (c) there was a relationship between age and evaluations on several dimensions of the semantic differential.
{"title":"Use of hate speech and social evaluation of a politician’s image","authors":"Marcelina Dobrowolska, Monika Obrębska","doi":"10.58734/plc-2023-0013","DOIUrl":"https://doi.org/10.58734/plc-2023-0013","url":null,"abstract":"Abstract We investigated whether the use of hate speech by politicians impacts the social evaluation of their image, as measured by the semantic differential method developed by Cwalina et al. (2000). The participants (N = 105, Polish nationals) evaluated the profiles of three well-known Polish politicians from different parties – Krzysztof Bosak, Radosław Sikorski, and Włodzimierz Czarzasty – and a fictional politician named Jacek Wiśniewski. Participants made evaluations before and after reading hateful posts from each politician. The participants’ political views and their alignment with the electoral programs of the politicians being evaluated, as well as demographic variables such as gender and age were also measured. The results showed that hate speech adversely affected the politician’s image, as evaluated by the participants. As a consequence of the experimental manipulation, all of the politicians whose profiles were presented for evaluation were judged more negatively. In particular, the negative evaluations concerned the politicians’ competences (unqualified and provincial), their emotionality (excitable and aggressive), and their attitude towards other people (insincere and unfriendly). Detailed analyses also showed that: (a) respondents who sympathized with the views of specific politicians tended to evaluate them more positively, (b) hate speech was more harmful to the image of politicians judged by women than by men, and (c) there was a relationship between age and evaluations on several dimensions of the semantic differential.","PeriodicalId":20768,"journal":{"name":"Psychology of Language and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42520699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Drawing on the feminist poststructuralist perspective, the current study explored the usernames adopted by female users of Ninisite, that is, a Persian discussion forum, and aimed at identifying their identity markers. To this end, a corpus of 947 usernames in Ninisite was compiled. Using thematic analysis, the recurrent themes in the usernames were pinpointed, which led to the identification of six themes as identity markers, namely, gender, religion/ideology, ethnicity, occupation/profession, being humorous, and sense of uniqueness. With regard to the socioculturally unique context of Iran, a continuum of specificity versus generality can be observed in the usernames on Ninisite, with specificity emphasizing differences, sense of uniqueness, and individualization of the users, and generality highlighting neutrality, commonalities, and conventionality.
{"title":"Identity markers in the Internet usernames adopted by female users of a Persian public discussion forum: A sociolinguistic analysis","authors":"Nasimeh Nouhi Jadesi","doi":"10.2478/plc-2022-0003","DOIUrl":"https://doi.org/10.2478/plc-2022-0003","url":null,"abstract":"Abstract Drawing on the feminist poststructuralist perspective, the current study explored the usernames adopted by female users of Ninisite, that is, a Persian discussion forum, and aimed at identifying their identity markers. To this end, a corpus of 947 usernames in Ninisite was compiled. Using thematic analysis, the recurrent themes in the usernames were pinpointed, which led to the identification of six themes as identity markers, namely, gender, religion/ideology, ethnicity, occupation/profession, being humorous, and sense of uniqueness. With regard to the socioculturally unique context of Iran, a continuum of specificity versus generality can be observed in the usernames on Ninisite, with specificity emphasizing differences, sense of uniqueness, and individualization of the users, and generality highlighting neutrality, commonalities, and conventionality.","PeriodicalId":20768,"journal":{"name":"Psychology of Language and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46708771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Louis Tarrade, Jean-Philippe Magué, Jean-Pierre Chevrot
Abstract In this paper, we present the methodology we have developed for the detection of lexical innovations, implemented here on a corpus of 650 million of French tweets covering a period from 2012 to 2019. Once detected, innovations are categorized as change or buzz according to whether their use has stabilized or dropped over time, and three phases of their dynamics are automatically identified. In order to validate our approach, we further analyse these dynamics by modelling the user network and characterising the speakers using these innovations via network variables. This allows us to propose preliminary observations on the role of individuals in the diffusion process of linguistic innovations which are in line with Milroy & Milroy’s (1997) theories and encourage further investigations.
{"title":"Detecting and categorising lexical innovations in a corpus of tweets","authors":"Louis Tarrade, Jean-Philippe Magué, Jean-Pierre Chevrot","doi":"10.2478/plc-2022-15","DOIUrl":"https://doi.org/10.2478/plc-2022-15","url":null,"abstract":"Abstract In this paper, we present the methodology we have developed for the detection of lexical innovations, implemented here on a corpus of 650 million of French tweets covering a period from 2012 to 2019. Once detected, innovations are categorized as change or buzz according to whether their use has stabilized or dropped over time, and three phases of their dynamics are automatically identified. In order to validate our approach, we further analyse these dynamics by modelling the user network and characterising the speakers using these innovations via network variables. This allows us to propose preliminary observations on the role of individuals in the diffusion process of linguistic innovations which are in line with Milroy & Milroy’s (1997) theories and encourage further investigations.","PeriodicalId":20768,"journal":{"name":"Psychology of Language and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49182392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract This study investigated the influence of loci of content and function words on stuttering frequency in the speech of Arabic children who stutter. Participants were 85 children who stutter (24 preschool, 61 school age). The preschool children who stutter were 17 males and 7 females with a mean age of 4.58 ± 0.50 (range: 4-5 years old). The school age children who stutter were 56 males and 5 females with a mean age of 10.64 ± 2.76 (range: 6-16 years old). No significant difference was found between the preschool and school age children who stutter in the mean percentage of stuttering on both content and function words. For school age children who stutter, results showed a significantly higher percentage of stuttering on function words compared to content words in the mild level of stuttering (p = .010). Taking severity as a continuous variable, results indicated a significant positive correlation between scores on the Stuttering Severity Instrument-4 (SSI-4) and loci of stuttering on both content and function words. The results also revealed a significant negative correlation between age (as a continuous variable) and loci of stuttering in the category of function words. The findings of the current study provide new information about the impact of word type (function vs. content words) on stuttering in Arabic-speaking children.
{"title":"Stuttering frequency on content and function words in pre-school and school-age Jordanian Arabic-speaking children who stutter","authors":"Mazin Alqhazo, F. Alfwaress","doi":"10.2478/plc-2022-0001","DOIUrl":"https://doi.org/10.2478/plc-2022-0001","url":null,"abstract":"Abstract This study investigated the influence of loci of content and function words on stuttering frequency in the speech of Arabic children who stutter. Participants were 85 children who stutter (24 preschool, 61 school age). The preschool children who stutter were 17 males and 7 females with a mean age of 4.58 ± 0.50 (range: 4-5 years old). The school age children who stutter were 56 males and 5 females with a mean age of 10.64 ± 2.76 (range: 6-16 years old). No significant difference was found between the preschool and school age children who stutter in the mean percentage of stuttering on both content and function words. For school age children who stutter, results showed a significantly higher percentage of stuttering on function words compared to content words in the mild level of stuttering (p = .010). Taking severity as a continuous variable, results indicated a significant positive correlation between scores on the Stuttering Severity Instrument-4 (SSI-4) and loci of stuttering on both content and function words. The results also revealed a significant negative correlation between age (as a continuous variable) and loci of stuttering in the category of function words. The findings of the current study provide new information about the impact of word type (function vs. content words) on stuttering in Arabic-speaking children.","PeriodicalId":20768,"journal":{"name":"Psychology of Language and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49401896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Previous research has focused on message characteristics of public webcare conversations. However, webcare conversations are increasingly held on private social networking sites. Little is known to what extent organizations and stakeholders adapt their messages to the affordances of these channels. Employing the uses and gratifications theory, this paper reports on a content analysis of webcare conversations (n = 423) between stakeholders and the Netherlands Red Cross on public and private social networking sites. The stakeholder motives and organizational communication style were analyzed. The findings reveal private channels mainly serve the purpose of customer service: stakeholders approach the organization with questions; the organization uses message personalization to enhance the experience of one-to-one communication. Public social networking sites mainly serve the purpose of reputation management: stakeholders post remarks and compliments; the organization adapts the communication style of its messages to the affordances of the individual platform. Implications for theory and practice are discussed.
{"title":"Webcare across public and private social networking sites: How stakeholders and the Netherlands Red Cross adapt their messages to channel affordances and constraints","authors":"Christine Liebrecht, C. V. van Hooijdonk","doi":"10.2478/plc-2022-18","DOIUrl":"https://doi.org/10.2478/plc-2022-18","url":null,"abstract":"Abstract Previous research has focused on message characteristics of public webcare conversations. However, webcare conversations are increasingly held on private social networking sites. Little is known to what extent organizations and stakeholders adapt their messages to the affordances of these channels. Employing the uses and gratifications theory, this paper reports on a content analysis of webcare conversations (n = 423) between stakeholders and the Netherlands Red Cross on public and private social networking sites. The stakeholder motives and organizational communication style were analyzed. The findings reveal private channels mainly serve the purpose of customer service: stakeholders approach the organization with questions; the organization uses message personalization to enhance the experience of one-to-one communication. Public social networking sites mainly serve the purpose of reputation management: stakeholders post remarks and compliments; the organization adapts the communication style of its messages to the affordances of the individual platform. Implications for theory and practice are discussed.","PeriodicalId":20768,"journal":{"name":"Psychology of Language and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43365716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The current study presents an analysis of a linguistic device supporting interactional coherence in computer-mediated communication (CMC). The analysis focused on the use of the German causative conjunction weil and, more specifically, on the syntactic variation of verb-final versus verb-second word order in the weil-clause. Verb-final word order in German indicates a dependent clause, whereas verb-second word order indicates an independent clause. While only the former is accepted in written Standard German, the latter is well documented in oral communication. Relying on freely available Facebook, WhatsApp, and Wikipedia corpus data, the analysis shows that both grammatical constructions are used in written CMC. In a specific usage across discrete messages, the syntactic variation of the weil-clause can serve to unambiguously identify its reference clause. While verb-final weil-clauses can be used to refer to previous messages by both an interlocutor and oneself, verb-second weil-clauses are predominantly used to relate to an own previous message. Thus, the syntactic variation in weil-clauses can be used for disambiguating references in written interactions.
{"title":"Syntactic variation and interactional coherence in online communication: The German conjunction “weil” in written interactions","authors":"A. Glaznieks","doi":"10.2478/plc-2022-16","DOIUrl":"https://doi.org/10.2478/plc-2022-16","url":null,"abstract":"Abstract The current study presents an analysis of a linguistic device supporting interactional coherence in computer-mediated communication (CMC). The analysis focused on the use of the German causative conjunction weil and, more specifically, on the syntactic variation of verb-final versus verb-second word order in the weil-clause. Verb-final word order in German indicates a dependent clause, whereas verb-second word order indicates an independent clause. While only the former is accepted in written Standard German, the latter is well documented in oral communication. Relying on freely available Facebook, WhatsApp, and Wikipedia corpus data, the analysis shows that both grammatical constructions are used in written CMC. In a specific usage across discrete messages, the syntactic variation of the weil-clause can serve to unambiguously identify its reference clause. While verb-final weil-clauses can be used to refer to previous messages by both an interlocutor and oneself, verb-second weil-clauses are predominantly used to relate to an own previous message. Thus, the syntactic variation in weil-clauses can be used for disambiguating references in written interactions.","PeriodicalId":20768,"journal":{"name":"Psychology of Language and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44930283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The main objective of this study was to examine the specialized environmental vocabulary which is incorporated in ordinary discourse found on the Internet. Specifically, we collected English-language data from two social networks, Twitter and Reddit, with a set of environmental keywords which was compiled using the term candidates extraction technique described in Shvets and Wanner (2020). Furthermore, using data from the initial corpus, we built a smaller sample of texts to serve as a ground for a preliminary linguistic analysis of the environmental term carbon. In environmental discourse, carbon is an umbrella term which has acquired multiple senses when it comes to greenhouse gas emissions. Additionally, this term has settled in ordinary communication (Fletcher & Downing, 2011). By means of a fine-grained manual linguistic analysis applied to the data sample, we identified five semantic patterns in the way the general public conceptualizes carbon in the environmental context.
{"title":"Public perception and usage of the term carbon: Linguistic analysis in an environmental social media corpus","authors":"Tomara Gotkova, N. Chepurnykh","doi":"10.2478/plc-2022-14","DOIUrl":"https://doi.org/10.2478/plc-2022-14","url":null,"abstract":"Abstract The main objective of this study was to examine the specialized environmental vocabulary which is incorporated in ordinary discourse found on the Internet. Specifically, we collected English-language data from two social networks, Twitter and Reddit, with a set of environmental keywords which was compiled using the term candidates extraction technique described in Shvets and Wanner (2020). Furthermore, using data from the initial corpus, we built a smaller sample of texts to serve as a ground for a preliminary linguistic analysis of the environmental term carbon. In environmental discourse, carbon is an umbrella term which has acquired multiple senses when it comes to greenhouse gas emissions. Additionally, this term has settled in ordinary communication (Fletcher & Downing, 2011). By means of a fine-grained manual linguistic analysis applied to the data sample, we identified five semantic patterns in the way the general public conceptualizes carbon in the environmental context.","PeriodicalId":20768,"journal":{"name":"Psychology of Language and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46205152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Gender bias continues to be an ongoing issue in the field of medicine. While bias may come in many forms, patients’ biases and perceptions have been understudied and may impact adherence to treatment, leading to unequal outcomes. Online reviews for doctors are a naturalistic way to study gender bias. In this study, we leveraged the LIWC psychological linguistic analysis tool to analyze the language styles of ZocDoc and RateMDs reviews and understand the potential role of gender in patients’ perceptions of their doctors. Mean differences were calculated using bootstrapped hierarchical linear modeling. We found that reviews for female physicians are generally more informal and emotional than those for male physicians. While our study was exploratory, the results suggest that both patients and physicians need to increase their awareness of how their biases may be affecting how they give and receive vital health information.
{"title":"Understanding gender bias toward physicians using online doctor reviews","authors":"Sonam Gupta, Kayla Jordan","doi":"10.2478/plc-2022-0002","DOIUrl":"https://doi.org/10.2478/plc-2022-0002","url":null,"abstract":"Abstract Gender bias continues to be an ongoing issue in the field of medicine. While bias may come in many forms, patients’ biases and perceptions have been understudied and may impact adherence to treatment, leading to unequal outcomes. Online reviews for doctors are a naturalistic way to study gender bias. In this study, we leveraged the LIWC psychological linguistic analysis tool to analyze the language styles of ZocDoc and RateMDs reviews and understand the potential role of gender in patients’ perceptions of their doctors. Mean differences were calculated using bootstrapped hierarchical linear modeling. We found that reviews for female physicians are generally more informal and emotional than those for male physicians. While our study was exploratory, the results suggest that both patients and physicians need to increase their awareness of how their biases may be affecting how they give and receive vital health information.","PeriodicalId":20768,"journal":{"name":"Psychology of Language and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46486363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract This study explored the linguistic patterns and discourse on suicide of the Swedish artist Avicii. Focusing on key events in his life, career, and compositions, a triangulation of data sources was employed grounded on psychobiographical research framework and corpus-based discourse analysis. Texts with reference to suicidal risk factors were then evaluated based on the interpersonal-psychological theory of suicide to establish linguistic representations of emotional distress and suicidal ideation. The findings suggest that lexical features associated with mental health struggles, that is, high volume of first-person deixis and death-themed linguistic references, were evident in his writing. There were substantial implications of his predisposition to mental stress and his call for help, his S.O.S. This study helps in further understanding the language and discourse of artists like Avicii on the immense dislocation of emotions and the complexities of navigating (inter)personal relationships.
{"title":"Avicii’s S.O.S.: A psychobiographical approach and corpus-based discourse analysis on suicidal ideation","authors":"Aiden Yeh, Pham Thi Minh Trang","doi":"10.2478/plc-2022-0010","DOIUrl":"https://doi.org/10.2478/plc-2022-0010","url":null,"abstract":"Abstract This study explored the linguistic patterns and discourse on suicide of the Swedish artist Avicii. Focusing on key events in his life, career, and compositions, a triangulation of data sources was employed grounded on psychobiographical research framework and corpus-based discourse analysis. Texts with reference to suicidal risk factors were then evaluated based on the interpersonal-psychological theory of suicide to establish linguistic representations of emotional distress and suicidal ideation. The findings suggest that lexical features associated with mental health struggles, that is, high volume of first-person deixis and death-themed linguistic references, were evident in his writing. There were substantial implications of his predisposition to mental stress and his call for help, his S.O.S. This study helps in further understanding the language and discourse of artists like Avicii on the immense dislocation of emotions and the complexities of navigating (inter)personal relationships.","PeriodicalId":20768,"journal":{"name":"Psychology of Language and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48202149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Sequences of two modal verbs in spoken English can represent use of a nonstandard syntactic feature (double modal) or a corrected utterance in which a speaker begins with one modal auxiliary, but switches to another (self-repair). This article presents the Double Modals and Self-Repairs (DMSR) database, a table of naturalistic double modals and self-repairs in videos from local government entities in North America, created from the Corpus of North American Spoken English (CoNASE). The paper describes the procedures used for the database’s creation, discusses potential uses, and presents an exploratory analysis in which a logistic regression classifier is trained with CoNASE data to distinguish authentic double modals from self-repair sequences on the basis of local discourse context. The analysis demonstrates how large corpora of speech can be used to investigate the links between syntactic and pragmatic phenomena and shows specifically that double modals are an interactive device, while two-modal sequences as self-repairs may be the result of high cognitive load. The paper concludes with a discussion of multimodal corpus creation from YouTube for the study of lexical, syntactic, and interactional phenomena in speech as well as for the analysis of complex, multilevel computer-mediated communication (CMC) phenomena.
{"title":"A database of North American double modals and self-repairs from YouTube","authors":"Steven Coats","doi":"10.2478/plc-2022-13","DOIUrl":"https://doi.org/10.2478/plc-2022-13","url":null,"abstract":"Abstract Sequences of two modal verbs in spoken English can represent use of a nonstandard syntactic feature (double modal) or a corrected utterance in which a speaker begins with one modal auxiliary, but switches to another (self-repair). This article presents the Double Modals and Self-Repairs (DMSR) database, a table of naturalistic double modals and self-repairs in videos from local government entities in North America, created from the Corpus of North American Spoken English (CoNASE). The paper describes the procedures used for the database’s creation, discusses potential uses, and presents an exploratory analysis in which a logistic regression classifier is trained with CoNASE data to distinguish authentic double modals from self-repair sequences on the basis of local discourse context. The analysis demonstrates how large corpora of speech can be used to investigate the links between syntactic and pragmatic phenomena and shows specifically that double modals are an interactive device, while two-modal sequences as self-repairs may be the result of high cognitive load. The paper concludes with a discussion of multimodal corpus creation from YouTube for the study of lexical, syntactic, and interactional phenomena in speech as well as for the analysis of complex, multilevel computer-mediated communication (CMC) phenomena.","PeriodicalId":20768,"journal":{"name":"Psychology of Language and Communication","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49544701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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