LatinoTwitter: Discourses of Latino civic Engagement in social medie

Novak, Alison N.; Johnson, Kristine; Pontes, Manuel

doi:10.5210/fm.v21i8.6752

Cited by 4 publications

(1 citation statement)

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“…Such events include Donald Trump's racist discourse and the nativist hate crimes it has fomented in the U.S.; tensions over the use of the label "Latinx;" former NBC Nightly News anchor Tom Brokaw's description of Hispanics as predominantly Spanishspeaking and unassimilable; Beto O'Rourke and Cory Booker's use of the Spanishlanguage, seen as "hispandering," during one of the Democratic Party's 2019 debates; and Spanish-born recording artist Rosalía winning both a Latin Grammy and the 2019 VMA's "Best Latin" category. In tandem with this analysis, scholars such as Novak et al (2016) have identified four main discourses surrounding Latino use of Twitter, which include racial positionality in the U.S, social and civic protest and engagement, information sharing, and promotion of Latino products, persons, and brands.…”

Section: Theorizing Latinidad and Latinx Twittermentioning

confidence: 99%

Situating Representation As a Form of Erasure: #OscarsSoWhite, Black Twitter, and Latinx Twitter

Gutiérrez

2020

Television & New Media

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This article explores how Latinxs have responded to the visibility of campaigns and movements such as #OscarsSoWhite. It outlines the discourses Latinxs have deployed on Twitter to justify their demands for inclusion in the media industries and how notions of competition, coalition building, and solidarity operate between various ethnoracial groups in digital media activism. The article theorizes “Latinx Twitter” and its anti-Blackness and explores the clashes this counterpublic has had with Black Twitter by analyzing the discourses surrounding the hashtags #OscarsSoWhite, #NotYourMule, and #OscarsSoWhiteAndBlack. It advances the notion of competing ethnoracialized counterpublics to explore how race and ethnicity operate relationally in the U.S. and how competition among marginalized groups impacts media activism.

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Section: Theorizing Latinidad and Latinx Twittermentioning

confidence: 99%

Situating Representation As a Form of Erasure: #OscarsSoWhite, Black Twitter, and Latinx Twitter

Gutiérrez

2020

Television & New Media

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Government portals, social media platforms and citizen engagement in India: Some insights

Verma

Kumar

Ilavarasan

2017

Procedia Computer Science

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Methods to Establish Race or Ethnicity of Twitter Users: Scoping Review

Golder¹,

Stevens²,

O’Connor³

et al. 2022

J Med Internet Res

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Background A growing amount of health research uses social media data. Those critical of social media research often cite that it may be unrepresentative of the population; however, the suitability of social media data in digital epidemiology is more nuanced. Identifying the demographics of social media users can help establish representativeness. Objective This study aims to identify the different approaches or combination of approaches to extract race or ethnicity from social media and report on the challenges of using these methods. Methods We present a scoping review to identify methods used to extract the race or ethnicity of Twitter users from Twitter data sets. We searched 17 electronic databases from the date of inception to May 15, 2021, and carried out reference checking and hand searching to identify relevant studies. Sifting of each record was performed independently by at least two researchers, with any disagreement discussed. Studies were required to extract the race or ethnicity of Twitter users using either manual or computational methods or a combination of both. Results Of the 1249 records sifted, we identified 67 (5.36%) that met our inclusion criteria. Most studies (51/67, 76%) have focused on US-based users and English language tweets (52/67, 78%). A range of data was used, including Twitter profile metadata, such as names, pictures, information from bios (including self-declarations), or location or content of the tweets. A range of methodologies was used, including manual inference, linkage to census data, commercial software, language or dialect recognition, or machine learning or natural language processing. However, not all studies have evaluated these methods. Those that evaluated these methods found accuracy to vary from 45% to 93% with significantly lower accuracy in identifying categories of people of color. The inference of race or ethnicity raises important ethical questions, which can be exacerbated by the data and methods used. The comparative accuracies of the different methods are also largely unknown. Conclusions There is no standard accepted approach or current guidelines for extracting or inferring the race or ethnicity of Twitter users. Social media researchers must carefully interpret race or ethnicity and not overpromise what can be achieved, as even manual screening is a subjective, imperfect method. Future research should establish the accuracy of methods to inform evidence-based best practice guidelines for social media researchers and be guided by concerns of equity and social justice.

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LatinoTwitter: Discourses of Latino civic Engagement in social medie

Cited by 4 publications

References 0 publications

Situating Representation As a Form of Erasure: #OscarsSoWhite, Black Twitter, and Latinx Twitter

Situating Representation As a Form of Erasure: #OscarsSoWhite, Black Twitter, and Latinx Twitter

Government portals, social media platforms and citizen engagement in India: Some insights

Methods to Establish Race or Ethnicity of Twitter Users: Scoping Review

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