Pub Date : 2025-01-20DOI: 10.1177/08944393251315917
Bastián González-Bustamante
This paper describes the creation of a novel dataset on ministerial turnover and resignation calls in 12 presidential cabinets in Latin America from the mid-1970s to the early 2020s. The indicators on resignation calls and reallocations of cabinet members are entirely novel. Both constitute a relevant empirical contribution not only to the study of political dynamics in presidential systems and cabinet politics but also to public opinion and public policy topics. We focus on the creation of the dataset using optical recognition algorithms on press report archives together with machine learning models. The models permitted the training of ensemble semi-supervised classifiers over a period of almost 50 years. Subsequently, we provide a number of measurement validity checks to cross-validate the dataset by comparing it with similar existing data and an exploratory analysis.
{"title":"Machine Learning and Political Events: Application of a Semi-supervised Approach to Produce a Dataset on Presidential Cabinets","authors":"Bastián González-Bustamante","doi":"10.1177/08944393251315917","DOIUrl":"https://doi.org/10.1177/08944393251315917","url":null,"abstract":"This paper describes the creation of a novel dataset on ministerial turnover and resignation calls in 12 presidential cabinets in Latin America from the mid-1970s to the early 2020s. The indicators on resignation calls and reallocations of cabinet members are entirely novel. Both constitute a relevant empirical contribution not only to the study of political dynamics in presidential systems and cabinet politics but also to public opinion and public policy topics. We focus on the creation of the dataset using optical recognition algorithms on press report archives together with machine learning models. The models permitted the training of ensemble semi-supervised classifiers over a period of almost 50 years. Subsequently, we provide a number of measurement validity checks to cross-validate the dataset by comparing it with similar existing data and an exploratory analysis.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"20 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142991146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-24DOI: 10.1177/08944393241311586
Shang Chen, Xuefei Xu, Qingfei Min, Lin Liu
As companies come to appreciate social media’s economic advantages, it has transformed into a dichotomous social-commercial landscape. In this specific situation, followers evaluate social media influencers that play both the friend and marketer roles in the decision-making process. This study creates a dual-role trust model based on the role theory to investigate trust processes across different roles. More importantly, this study goes deeper into examining the potential paradoxical positive and negative moderating roles of perceived friendship in the dual-role trust mechanism. The structural equation model approach is first conducted to test our hypotheses using a survey of 465 TikTok respondents. Next, the study model’s hypotheses are further tested using a post hoc analysis to see if they change based on followers’ regulatory focus. The findings support perceived friendship’s complementary and replacement functions in a dual role-based trust mechanism, as well as the transfer of trust between dual roles. There is a discussion of the implications for theory and practice.
{"title":"A Dual-Role Trust Model for Social Media Influencers: The Paradox of Perceived Friendship","authors":"Shang Chen, Xuefei Xu, Qingfei Min, Lin Liu","doi":"10.1177/08944393241311586","DOIUrl":"https://doi.org/10.1177/08944393241311586","url":null,"abstract":"As companies come to appreciate social media’s economic advantages, it has transformed into a dichotomous social-commercial landscape. In this specific situation, followers evaluate social media influencers that play both the friend and marketer roles in the decision-making process. This study creates a dual-role trust model based on the role theory to investigate trust processes across different roles. More importantly, this study goes deeper into examining the potential paradoxical positive and negative moderating roles of perceived friendship in the dual-role trust mechanism. The structural equation model approach is first conducted to test our hypotheses using a survey of 465 TikTok respondents. Next, the study model’s hypotheses are further tested using a post hoc analysis to see if they change based on followers’ regulatory focus. The findings support perceived friendship’s complementary and replacement functions in a dual role-based trust mechanism, as well as the transfer of trust between dual roles. There is a discussion of the implications for theory and practice.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"31 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142879968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-18DOI: 10.1177/08944393241308509
Jason Kosakow, Pierce Greenberg
Despite well-documented challenges, researchers across the social sciences continue to rely on email to recruit research participants. However, few studies examine how different communication strategies impact email open and conversion rates, especially among surveys of establishments. Our paper aims to fill that gap by examining whether motivation-based appeals—which we develop from respondents’ reasons for participating—outperform a communication approach based on social exchange theory. Our study identified the top three motivations why current panel members participate in the Federal Reserve Bank of Richmond Business Survey: (1) access to data and other benefits, (2) the ability to influence economic policy, and (3) to help make their communities better. Then, we crafted email subject lines and messages to match those three motivations and a version based on tenets of social exchange theory. Our results find that the social exchange version outperforms the motivation-based appeals in both email open and conversion rates—with a stronger influence on conversion rates. We discuss the implications of these results for how social science researchers communicate with potential research participants by email.
{"title":"Testing Motivation-Based vs. Social Exchange Communication Strategies in Email Survey Recruitment","authors":"Jason Kosakow, Pierce Greenberg","doi":"10.1177/08944393241308509","DOIUrl":"https://doi.org/10.1177/08944393241308509","url":null,"abstract":"Despite well-documented challenges, researchers across the social sciences continue to rely on email to recruit research participants. However, few studies examine how different communication strategies impact email open and conversion rates, especially among surveys of establishments. Our paper aims to fill that gap by examining whether motivation-based appeals—which we develop from respondents’ reasons for participating—outperform a communication approach based on social exchange theory. Our study identified the top three motivations why current panel members participate in the Federal Reserve Bank of Richmond Business Survey: (1) access to data and other benefits, (2) the ability to influence economic policy, and (3) to help make their communities better. Then, we crafted email subject lines and messages to match those three motivations and a version based on tenets of social exchange theory. Our results find that the social exchange version outperforms the motivation-based appeals in both email open and conversion rates—with a stronger influence on conversion rates. We discuss the implications of these results for how social science researchers communicate with potential research participants by email.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"22 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142841942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-09DOI: 10.1177/08944393241305776
Henning Silber, Johannes Breuer, Barbara Felderer, Frederic Gerdon, Patrick Stammann, Jessica Daikeler, Florian Keusch, Bernd Weiß
Digital trace data are increasingly used in the social sciences. Given the risks associated with data access via application programming interfaces (APIs) as well as ethical discussions around the use of such data, data donations have been proposed as a methodologically reliable and ethically sound way of collecting digital trace data. While data donations have many advantages, study participants may be reluctant to share their data, for example, due to privacy concerns. To assess which factors in a data donation request are relevant for participants’ acceptance and decisions, we conducted a vignette experiment investigating the general acceptability and personal willingness to donate various data types (i.e., data from GPS, web browsing, LinkedIn/Xing, Facebook, and TikTok) for research purposes. The preregistered study was implemented in the probability-based German Internet Panel (GIP) and gathered responses from n = 3821 participants. Results show that people rate the general acceptability of data donation requests higher than their own willingness to donate data. Regarding the different data types, respondents indicated that they would be more willing to donate their LinkedIn/Xing, TikTok, and GPS data compared to web browsing and Facebook data. In contrast, information about whether the donated data would be shared with other researchers and data security did not affect the responses to the respective donation scenarios. Based on these results, we discuss implications for studies employing data donations.
{"title":"Asking for Traces: A Vignette Study on Acceptability Norms and Personal Willingness to Donate Digital Trace Data","authors":"Henning Silber, Johannes Breuer, Barbara Felderer, Frederic Gerdon, Patrick Stammann, Jessica Daikeler, Florian Keusch, Bernd Weiß","doi":"10.1177/08944393241305776","DOIUrl":"https://doi.org/10.1177/08944393241305776","url":null,"abstract":"Digital trace data are increasingly used in the social sciences. Given the risks associated with data access via application programming interfaces (APIs) as well as ethical discussions around the use of such data, data donations have been proposed as a methodologically reliable and ethically sound way of collecting digital trace data. While data donations have many advantages, study participants may be reluctant to share their data, for example, due to privacy concerns. To assess which factors in a data donation request are relevant for participants’ acceptance and decisions, we conducted a vignette experiment investigating the general acceptability and personal willingness to donate various data types (i.e., data from GPS, web browsing, LinkedIn/Xing, Facebook, and TikTok) for research purposes. The preregistered study was implemented in the probability-based German Internet Panel (GIP) and gathered responses from n = 3821 participants. Results show that people rate the general acceptability of data donation requests higher than their own willingness to donate data. Regarding the different data types, respondents indicated that they would be more willing to donate their LinkedIn/Xing, TikTok, and GPS data compared to web browsing and Facebook data. In contrast, information about whether the donated data would be shared with other researchers and data security did not affect the responses to the respective donation scenarios. Based on these results, we discuss implications for studies employing data donations.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"83 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142796796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-02DOI: 10.1177/08944393241305780
Zhang Hao Goh, Minzheng Hou, Edson C. Tandoc
Reducing the social distance between livestreamers and viewers is known to enhance viewership as well as generate desirable psychosocial and economic outcomes. However, apart from the social dimension, scholars have not explored other distance dimensions that may induce the same benefits. Leveraging the construal level theory, the current study explicates the concept of distance in the form of three different perceived psychological distance dimensions (i.e., perceived response latency, heterophily, and spatialization) to examine how it can induce viewership in the context of livestreaming. A survey conducted in Singapore ( n = 401) found that the effect of perceived heterophily affecting viewership in livestream was moderated by viewers’ chronic construal tendencies, demonstrating a construal fit. The current study provides insights into how chronic differences in viewers’ construal can influence viewership.
{"title":"People, Platforms, and Places: The Conditional Effects of Psychological Distances on Livestream Viewership","authors":"Zhang Hao Goh, Minzheng Hou, Edson C. Tandoc","doi":"10.1177/08944393241305780","DOIUrl":"https://doi.org/10.1177/08944393241305780","url":null,"abstract":"Reducing the social distance between livestreamers and viewers is known to enhance viewership as well as generate desirable psychosocial and economic outcomes. However, apart from the social dimension, scholars have not explored other distance dimensions that may induce the same benefits. Leveraging the construal level theory, the current study explicates the concept of distance in the form of three different perceived psychological distance dimensions (i.e., perceived response latency, heterophily, and spatialization) to examine how it can induce viewership in the context of livestreaming. A survey conducted in Singapore ( n = 401) found that the effect of perceived heterophily affecting viewership in livestream was moderated by viewers’ chronic construal tendencies, demonstrating a construal fit. The current study provides insights into how chronic differences in viewers’ construal can influence viewership.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"298 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142758200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-22DOI: 10.1177/08944393241301330
Erik Haugom, Štefan Lyócsa, Martina Halousková
The introduction of ChatGPT and other tools based on artificial intelligence (AI) has the potential to revolutionize the field of education. We study how the public release of ChatGPT and the increased attention on this new large language model from OpenAI are associated with the expected returns of publicly traded firms that operate in the education sector. We also perform separate subgroup analyses for the traditional education sector and the so-called education technology sector. Using linear and threshold CAPM-GARCH models, we find that after the public release of ChatGPT, both the education sector as a whole and the education technology sector have underperformed benchmarks. Our results show that increased attention leads to lower next-day returns in the education sector as a whole and the education technology sector in particular. Additionally, during periods of higher attention, expected returns tend to decline in these two sectors. We also show that the introduction of ChatGPT or the increased interest in this AI tool in the population does not affect the traditional education sector. The introduction of ChatGPT thus has a heterogeneous effect across the various education sectors we examine, with the education technology sector receiving most of the disruption.
{"title":"Has ChatGPT Disrupted the Education Sector in the U.S.?","authors":"Erik Haugom, Štefan Lyócsa, Martina Halousková","doi":"10.1177/08944393241301330","DOIUrl":"https://doi.org/10.1177/08944393241301330","url":null,"abstract":"The introduction of ChatGPT and other tools based on artificial intelligence (AI) has the potential to revolutionize the field of education. We study how the public release of ChatGPT and the increased attention on this new large language model from OpenAI are associated with the expected returns of publicly traded firms that operate in the education sector. We also perform separate subgroup analyses for the traditional education sector and the so-called education technology sector. Using linear and threshold CAPM-GARCH models, we find that after the public release of ChatGPT, both the education sector as a whole and the education technology sector have underperformed benchmarks. Our results show that increased attention leads to lower next-day returns in the education sector as a whole and the education technology sector in particular. Additionally, during periods of higher attention, expected returns tend to decline in these two sectors. We also show that the introduction of ChatGPT or the increased interest in this AI tool in the population does not affect the traditional education sector. The introduction of ChatGPT thus has a heterogeneous effect across the various education sectors we examine, with the education technology sector receiving most of the disruption.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"24 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142690779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-15DOI: 10.1177/08944393241301045
Yesolran Kim
This study examines the relationship between social media use and life satisfaction among older adults, with a focus on the moderating role of self-esteem. Cross-sectional data from the 2021 Korea Media Panel Survey were analyzed, focusing on responses from 192 older adults aged 65 and older who had experience using social media platforms. The findings reveal that among older adults with low self-esteem, social media use is negatively associated with life satisfaction, whereas for those with high self-esteem, this association reverses and becomes positive. However, for older adults with medium self-esteem, the relationship between social media use and life satisfaction is not significant. This study contributes to the scholarly understanding of the structural relationship between social media use, self-esteem, and life satisfaction among older adults and offers insights for tailored interventions aimed at enhancing well-being in this demographic.
{"title":"The Moderating Role of Self-Esteem in the Relationship Between Social Media Use and Life Satisfaction Among Older Adults","authors":"Yesolran Kim","doi":"10.1177/08944393241301045","DOIUrl":"https://doi.org/10.1177/08944393241301045","url":null,"abstract":"This study examines the relationship between social media use and life satisfaction among older adults, with a focus on the moderating role of self-esteem. Cross-sectional data from the 2021 Korea Media Panel Survey were analyzed, focusing on responses from 192 older adults aged 65 and older who had experience using social media platforms. The findings reveal that among older adults with low self-esteem, social media use is negatively associated with life satisfaction, whereas for those with high self-esteem, this association reverses and becomes positive. However, for older adults with medium self-esteem, the relationship between social media use and life satisfaction is not significant. This study contributes to the scholarly understanding of the structural relationship between social media use, self-esteem, and life satisfaction among older adults and offers insights for tailored interventions aimed at enhancing well-being in this demographic.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"9 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-15DOI: 10.1177/08944393241301050
Shelley Boulianne, Katharina Heger, Nicole Houle, Delphine Brown
The COVID-19 pandemic heightened burdens on caregivers, but also the visibility of caregiving inequalities. These grievances may activate a feminist identity which in turn leads to greater civic and political participation. During a pandemic, online forms of participation are particularly attractive as they require less effort than offline forms of participation and pose less health risks compared to collective forms of offline activism. Using survey data from four countries (Canada, France, the United States, and the United Kingdom) collected in 2019 (prior to the pandemic), 2021 (during the pandemic), and 2023 (post-pandemic), we examine the relationship between self-identifying as a feminist and signing online petitions ( n = 18,362). Our multivariate analyses show that having a feminist identity is positively related to signing online petitions. We consider the differential effects of this identity on participation for men, women, non-binary people; caregivers versus non-caregivers; and respondents in different countries with varying levels of restrictions due to the pandemic. A feminist identity is more important for mobilizing caregivers than non-caregivers, whether or not the caregiver is a man or a woman. While grievance theory suggests differential effects by country and time period, we find a consistent role of feminist identity in predicting the signing of online petitions across time and across countries. These findings offer insights into how different groups in varying contexts are mobilized to participate.
{"title":"Feminist Identity and Online Activism in Four Countries From 2019 to 2023","authors":"Shelley Boulianne, Katharina Heger, Nicole Houle, Delphine Brown","doi":"10.1177/08944393241301050","DOIUrl":"https://doi.org/10.1177/08944393241301050","url":null,"abstract":"The COVID-19 pandemic heightened burdens on caregivers, but also the visibility of caregiving inequalities. These grievances may activate a feminist identity which in turn leads to greater civic and political participation. During a pandemic, online forms of participation are particularly attractive as they require less effort than offline forms of participation and pose less health risks compared to collective forms of offline activism. Using survey data from four countries (Canada, France, the United States, and the United Kingdom) collected in 2019 (prior to the pandemic), 2021 (during the pandemic), and 2023 (post-pandemic), we examine the relationship between self-identifying as a feminist and signing online petitions ( n = 18,362). Our multivariate analyses show that having a feminist identity is positively related to signing online petitions. We consider the differential effects of this identity on participation for men, women, non-binary people; caregivers versus non-caregivers; and respondents in different countries with varying levels of restrictions due to the pandemic. A feminist identity is more important for mobilizing caregivers than non-caregivers, whether or not the caregiver is a man or a woman. While grievance theory suggests differential effects by country and time period, we find a consistent role of feminist identity in predicting the signing of online petitions across time and across countries. These findings offer insights into how different groups in varying contexts are mobilized to participate.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"16 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-16DOI: 10.1177/08944393241287793
Silke Adam, Mykola Makhortykh, Michaela Maier, Viktor Aigenseer, Aleksandra Urman, Teresa Gil Lopez, Clara Christner, Ernesto de León, Roberto Ulloa
This article evaluates the quality of data collection in individual-level desktop web tracking used in the social sciences and shows that the existing approaches face sampling issues, validity issues due to the lack of content-level data and their disregard for the variety of devices and long-tail consumption patterns as well as transparency and privacy issues. To overcome some of these problems, the article introduces a new academic web tracking solution, WebTrack, an open-source tracking tool maintained by a major European research institution, GESIS. The design logic, the interfaces, and the backend requirements for WebTrack are discussed, followed by a detailed examination of the strengths and weaknesses of the tool. Finally, using data from 1,185 participants, the article empirically illustrates how an improvement in data collection through WebTrack leads to innovative shifts in the use of tracking data. As WebTrack allows for collecting the content people are exposed to beyond the classical news platforms, it can greatly improve the detection of politics-related information consumption in tracking data through automated content analysis compared to traditional approaches that rely on the source-level analysis.
{"title":"Improving the Quality of Individual-Level Web Tracking: Challenges of Existing Approaches and Introduction of a New Content and Long-Tail Sensitive Academic Solution","authors":"Silke Adam, Mykola Makhortykh, Michaela Maier, Viktor Aigenseer, Aleksandra Urman, Teresa Gil Lopez, Clara Christner, Ernesto de León, Roberto Ulloa","doi":"10.1177/08944393241287793","DOIUrl":"https://doi.org/10.1177/08944393241287793","url":null,"abstract":"This article evaluates the quality of data collection in individual-level desktop web tracking used in the social sciences and shows that the existing approaches face sampling issues, validity issues due to the lack of content-level data and their disregard for the variety of devices and long-tail consumption patterns as well as transparency and privacy issues. To overcome some of these problems, the article introduces a new academic web tracking solution, WebTrack, an open-source tracking tool maintained by a major European research institution, GESIS. The design logic, the interfaces, and the backend requirements for WebTrack are discussed, followed by a detailed examination of the strengths and weaknesses of the tool. Finally, using data from 1,185 participants, the article empirically illustrates how an improvement in data collection through WebTrack leads to innovative shifts in the use of tracking data. As WebTrack allows for collecting the content people are exposed to beyond the classical news platforms, it can greatly improve the detection of politics-related information consumption in tracking data through automated content analysis compared to traditional approaches that rely on the source-level analysis.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"1 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142444489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-16DOI: 10.1177/08944393241282602
Jack Black
This article poses a simple question: can AI lie? In response to this question, the article examines, as its point of inquiry, popular AI chatbots, such as, ChatGPT. In doing so, an examination of the psychoanalytic, philosophical, and technological significance of AI and its complexities are located in relation to the dynamics of truth, falsity, and deception. That is, by critically considering the chatbot’s ability to engage in natural language conversations and provide contextually relevant responses, it is argued that what separates the AI chatbot from anthropocentric debates, which allude to some form of conscious recognition on behalf of AI, is the importance of the lie – an importance which a psychoanalytic approach can reveal. Indeed, while AI technologies can undoubtedly blur the line between lies and truth-speaking, in the case of the AI chatbot, it is detailed how such technology remains unable to lie authentically or, in other words, is unable to lie like a human. For psychoanalysis, the capacity to lie bears witness to the unconscious and, thus, plays an important role in determining the subject. It is for this reason that rather than uncritically accepting the chatbot’s authority – an authority that is easily reflected in its honest responses and frank admissions – a psychoanalytic (Lacanian) perspective can highlight the significance of the unconscious as a distorting factor in determining the subject. To help elucidate this argument, specific attention is given to introducing and applying Lacan’s subject of enunciation and subject of the enunciated. This is used to assert that what continues (for now) to set us apart from AI technology is not necessarily our ‘better knowledge’ but our capability to consciously engage in acts of falsehood that function to reveal the social nuances and significances of the lie.
{"title":"Can AI Lie? Chabot Technologies, the Subject, and the Importance of Lying","authors":"Jack Black","doi":"10.1177/08944393241282602","DOIUrl":"https://doi.org/10.1177/08944393241282602","url":null,"abstract":"This article poses a simple question: can AI lie? In response to this question, the article examines, as its point of inquiry, popular AI chatbots, such as, ChatGPT. In doing so, an examination of the psychoanalytic, philosophical, and technological significance of AI and its complexities are located in relation to the dynamics of truth, falsity, and deception. That is, by critically considering the chatbot’s ability to engage in natural language conversations and provide contextually relevant responses, it is argued that what separates the AI chatbot from anthropocentric debates, which allude to some form of conscious recognition on behalf of AI, is the importance of the lie – an importance which a psychoanalytic approach can reveal. Indeed, while AI technologies can undoubtedly blur the line between lies and truth-speaking, in the case of the AI chatbot, it is detailed how such technology remains unable to lie authentically or, in other words, is unable to lie like a human. For psychoanalysis, the capacity to lie bears witness to the unconscious and, thus, plays an important role in determining the subject. It is for this reason that rather than uncritically accepting the chatbot’s authority – an authority that is easily reflected in its honest responses and frank admissions – a psychoanalytic (Lacanian) perspective can highlight the significance of the unconscious as a distorting factor in determining the subject. To help elucidate this argument, specific attention is given to introducing and applying Lacan’s subject of enunciation and subject of the enunciated. This is used to assert that what continues (for now) to set us apart from AI technology is not necessarily our ‘better knowledge’ but our capability to consciously engage in acts of falsehood that function to reveal the social nuances and significances of the lie.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"231 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142444488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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