Economic performance and public concerns about social class in twentieth-century books

Chen, Yunsong; Yan, Fei

doi:10.1016/j.ssresearch.2016.04.007

Cited by 13 publications

(5 citation statements)

References 39 publications

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“…Shor et al (2015), for example, find men are featured more often in the media than women because of journalists' focus on high-status topics that typically focus on men. A largescale historical analysis of Google Books data shows that mentions of social class, class struggle, and other terms that describe social class increase alongside the economic misery index-a measure of inflation and unemployment (Chen & Yan 2016). Finally, Hoffman (2019) uses a combination of text analysis and network analysis to study how reading patterns shape political ideology and vice versa using records from a large public library.…”

Section: Production Of Culturementioning

confidence: 99%

Computational Social Science and Sociology

et al. 2020

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The integration of social science with computer science and engineering fields has produced a new area of study: computational social science. This field applies computational methods to novel sources of digital data such as social media, administrative records, and historical archives to develop theories of human behavior. We review the evolution of this field within sociology via bibliometric analysis and in-depth analysis of the following subfields where this new work is appearing most rapidly: ( a) social network analysis and group formation; ( b) collective behavior and political sociology; ( c) the sociology of knowledge; ( d) cultural sociology, social psychology, and emotions; ( e) the production of culture; ( f ) economic sociology and organizations; and ( g) demography and population studies. Our review reveals that sociologists are not only at the center of cutting-edge research that addresses longstanding questions about human behavior but also developing new lines of inquiry about digital spaces as well. We conclude by discussing challenging new obstacles in the field, calling for increased attention to sociological theory, and identifying new areas where computational social science might be further integrated into mainstream sociology. Expected final online publication date for the Annual Review of Sociology, Volume 46 is July 30, 2020. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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Section: Production Of Culturementioning

confidence: 99%

Computational Social Science and Sociology

et al. 2020

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“…Note that, there is heavy stigma surrounding suicide, making the highrisk population reluctant to expose themselves. Internet search provide a way out, and such methods have already been widely used to reveal the potential attitude or behaviors that can hardly be captured using traditional methods [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

The association between PM2.5 exposure and suicidal ideation: a prefectural panel study

Chen

et al. 2020

BMC Public Health

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Background: Suicidal ideation is subject to serious underestimation among existing public health studies. While numerous factors have been recognized in affecting suicidal thoughts and behaviors (STB), the associated environmental risks have been poorly understood. Foremost among the various environment risks were air pollution, in particular, the PM2.5. The present study attempted to examine the relationship between PM 2.5 level and local weekly index of suicidal ideation (ISI). Methods: Using Internet search query volumes in Baidu (2017), the largest internet search engine in China, we constructed a prefectural panel data (278 prefectures, 52 weeks) and employed dynamic panel GMM system estimation to analyze the relationship between weekly concentration of PM2.5 (Mean = 87 μg·m − 3 ) and the index of suicidal ideation (Mean = 49.9). Results:The results indicate that in the spring and winter, a 10 μg·m − 3 increase in the prior week's PM 2.5 in a Chinese city is significantly associated with 0.020 increase in ISI in spring and a 0.007 increase in ISI in winter, after taking account other co-pollutants and meteorological conditions. Conclusion:We innovatively proposed the measure of suicidal ideation and provided suggestive evidence of a positive association between suicidal ideation and PM 2.5 level.

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“…These works help shape the image of regions, communities, and individuals [63,66,67] . In order to examine whether and how literary destination familiarity impacts the inflow of foreign tourism in Mainland China, we extract the appearance of Chinese provinces in Google English fiction books, the New York Times, and Time magazine using the same methods as Chen and Yan [61] . We argue that individuals have produced and consumed fiction not only for entertainment, but also to spread knowledge and develop values and beliefs that could, collectively, affect people' s travel destination choices.…”

Section: Datamentioning

confidence: 99%

Literary Destination Familiarity and Inbound Tourism: Evidence from Mainland China

Liu

et al. 2021

J. Soc. Comput.

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Destination familiarity is an important non-economic determinant of tourists' destination choice that has not been adequately studied. This study posits a literary dimension to the concept of destination familiarity -that is, the extent to which tourists have gained familiarity with a given destination through literature-and seeks to investigate the impact of this form of familiarity on inbound tourism to Mainland China.Employing the English fiction dataset of the Google Books corpus, the New York Times annotated corpus, and the Time magazine corpus, we construct two types of destination familiarity based on literary texts: affectionbased destination familiarity and knowledge-based destination familiarity. The results from dynamic panel estimation (1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004) demonstrate that the higher the degree of affection-based destination familiarity with a province in the previous year, the larger the number of inbound tourists the following year. Examining the influence of literature and its consumption on tourism activities sheds light on the dynamics of sustainable tourism development in emerging markets.

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Economic performance and public concerns about social class in twentieth-century books

Cited by 13 publications

References 39 publications

Computational Social Science and Sociology

Computational Social Science and Sociology

The association between PM2.5 exposure and suicidal ideation: a prefectural panel study

Literary Destination Familiarity and Inbound Tourism: Evidence from Mainland China

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