不要闭口不言,也不要胡言乱语:社交媒体与电视消费

IF 6.1 2区 经济学 Journal of Population Economics Pub Date : 2024-05-30 DOI:10.1007/s00148-024-01034-7
Matteo Pazzona, Nicola Spagnolo
{"title":"不要闭口不言,也不要胡言乱语:社交媒体与电视消费","authors":"Matteo Pazzona, Nicola Spagnolo","doi":"10.1007/s00148-024-01034-7","DOIUrl":null,"url":null,"abstract":"<p>This paper investigates the impact of social media interest and sentiment surrounding the 2020 National Basketball Association’s involvement with the Black Lives Matter movement on the television audience in the United States. Twitter (now known as X) serves as the chosen social media platform, and we determine the sentiment expressed in tweets (messages posted on Twitter) using the XLM-RoBERTa deep language model. Our primary findings indicate that the quantity of users’ posts does not significantly influence TV viewership; instead, the tone of the messages plays a crucial role. Positive messages supporting the NBA’s engagement correlate with an increase in the number of viewers, while those expressing opposition do not. We argue that this asymmetry may stem from a positive elasticity among casual (non-habitual) NBA viewers concerning positive sentiments toward NBA involvement. These viewers are likely to align with the NBA’s stances on civil rights and BLM. In contrast, the core NBA fan base exhibits inelastic demand and is unlikely to cease watching NBA games. A comprehensive set of robustness checks reinforces the validity of our key conclusions.</p>","PeriodicalId":48013,"journal":{"name":"Journal of Population Economics","volume":null,"pages":null},"PeriodicalIF":6.1000,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Do not shut up and do dribble: social media and TV consumption\",\"authors\":\"Matteo Pazzona, Nicola Spagnolo\",\"doi\":\"10.1007/s00148-024-01034-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper investigates the impact of social media interest and sentiment surrounding the 2020 National Basketball Association’s involvement with the Black Lives Matter movement on the television audience in the United States. Twitter (now known as X) serves as the chosen social media platform, and we determine the sentiment expressed in tweets (messages posted on Twitter) using the XLM-RoBERTa deep language model. Our primary findings indicate that the quantity of users’ posts does not significantly influence TV viewership; instead, the tone of the messages plays a crucial role. Positive messages supporting the NBA’s engagement correlate with an increase in the number of viewers, while those expressing opposition do not. We argue that this asymmetry may stem from a positive elasticity among casual (non-habitual) NBA viewers concerning positive sentiments toward NBA involvement. These viewers are likely to align with the NBA’s stances on civil rights and BLM. In contrast, the core NBA fan base exhibits inelastic demand and is unlikely to cease watching NBA games. A comprehensive set of robustness checks reinforces the validity of our key conclusions.</p>\",\"PeriodicalId\":48013,\"journal\":{\"name\":\"Journal of Population Economics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2024-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Population Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1007/s00148-024-01034-7\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Population Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1007/s00148-024-01034-7","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文研究了围绕 2020 年全美篮球协会参与黑人生命至上运动的社交媒体兴趣和情绪对美国电视观众的影响。我们使用 XLM-RoBERTa 深度语言模型确定推文(发布在 Twitter 上的消息)中表达的情感。我们的主要研究结果表明,用户发布的信息数量对电视收视率的影响并不大,相反,信息的语气起着至关重要的作用。支持 NBA 参与的正面信息与观众人数的增加相关,而表达反对意见的信息则不然。我们认为,这种不对称可能源于NBA临时(非惯常)观众对NBA参与的积极情绪的正弹性。这些观众很可能与 NBA 在民权和 BLM 上的立场一致。相比之下,NBA 核心球迷群体的需求缺乏弹性,不太可能停止观看 NBA 比赛。一系列全面的稳健性检验加强了我们主要结论的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Do not shut up and do dribble: social media and TV consumption

This paper investigates the impact of social media interest and sentiment surrounding the 2020 National Basketball Association’s involvement with the Black Lives Matter movement on the television audience in the United States. Twitter (now known as X) serves as the chosen social media platform, and we determine the sentiment expressed in tweets (messages posted on Twitter) using the XLM-RoBERTa deep language model. Our primary findings indicate that the quantity of users’ posts does not significantly influence TV viewership; instead, the tone of the messages plays a crucial role. Positive messages supporting the NBA’s engagement correlate with an increase in the number of viewers, while those expressing opposition do not. We argue that this asymmetry may stem from a positive elasticity among casual (non-habitual) NBA viewers concerning positive sentiments toward NBA involvement. These viewers are likely to align with the NBA’s stances on civil rights and BLM. In contrast, the core NBA fan base exhibits inelastic demand and is unlikely to cease watching NBA games. A comprehensive set of robustness checks reinforces the validity of our key conclusions.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
9.60
自引率
6.60%
发文量
50
期刊介绍: The Journal of Population Economics is an international quarterly that publishes original theoretical and applied research in all areas of population economics. Micro-level topics examine individual, household or family behavior, including household formation, marriage, divorce, fertility choices, education, labor supply, migration, health, risky behavior and aging. Macro-level investigations may address such issues as economic growth with exogenous or endogenous population evolution, population policy, savings and pensions, social security, housing, and health care. The journal also features research into economic approaches to human biology, the relationship between population dynamics and public choice, and the impact of population on the distribution of income and wealth. Lastly, readers will find papers dealing with policy issues and development problems that are relevant to population issues.The journal is published in collaboration with POP at UNU-MERIT, the Global Labor Organization (GLO) and the European Society for Population Economics (ESPE).Officially cited as: J Popul Econ Factor (RePEc): 13.576 (July 2018) Rank 69 of 2102 journals listed in RePEc
期刊最新文献
The effect of prenatal exposure to Ramadan on human capital: evidence from Turkey An Indian Enigma? Labour market impacts of the world’s largest livelihoods program Demographic impacts of China’s trade liberalization: marriage, spousal quality, and fertility Can a ban on child labour be self-enforcing, and would it be efficient? Cultural assimilation and segregation in heterogeneous societies
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1