Managing visibility on YouTube through algorithmic gossip
Open accessAbstract
Beauty vloggers’ feminised outputs often position them outside of traditional spheres of technical expertise, however, their strategic management of algorithmic visibility makes them an illuminating source of algorithmic knowledge. I draw from an ethnography of beauty vloggers and industry stakeholders to study the collaborative and directive processes used to formulate and sustain algorithmic expertise – algorithmic gossip. Algorithmic gossip is defined as communally and socially informed theories and strategies pertaining to recommender algorithms, shared and implemented to engender financial consistency and visibility on algorithmically structured social media platforms. Gossip is productive: community communication and talk informs and supports practices such as uploading frequently and producing feminised beauty content to perform more effectively on YouTube. Taking gossip seriously can present a valuable resource for revealing information about how algorithms work and have worked, in addition to revealing how perceptions of algorithms inform content production.
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Emotional labor aimed at advertisers and audiences enters the metrics that assess creative work visibility.
“The emotional labor catering to advertisers and audiences' feeds into metrics that evaluate the creative work visibility (Bishop, 2019).”
From ‘Traffic rewards’, ‘algorithmic visibility’, and ‘advertiser satisfaction’: How Chinese short-video platforms cultivate creators in stages (2024) · cites this paper as Bishop, 2019
The Methodology section describes a vlogger’s public appeal to fans as “visibility labour” and identifies subscribers and views as visibility metrics (pages not provided). The Introduction also discusses the emotional stakes of maintaining visibility. But these passages do not establish that emotional labour catering to advertisers and audiences feeds into the metrics that evaluate creative work. (LLM, conf=0.82)
Experimental — accuracy not yet measuredPrevious literature has identified A/B testing, algorithmic gossip, and leveraging algorithms as coping mechanisms.
“Previous literature has already identified A/B testing (Cotter 2019), algorithmic gossip (Bishop 2019), and leveraging algorithms (Kellogg et al. 2020) as coping mechanisms.”
From Content Creators Between Platform Control and User Autonomy: The Role of Algorithms and Revenue Sharing (2023) · cites this paper as Bishop 2019
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“This matters because much previous work on algorithmic literacy pertains to subgroups that are already relatively digitally literate, such as algorithmic activists (Velkova & Kaun, 2019), web shop owners (Klawitter & Hargittai, 2018), and social media influencers (Bishop, 2019; Cotter, 2019).”
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InfluentialThe ethnographer and the algorithm: beyond the black box
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“…example, one can take the case of content creators and “ influencers ” producing and sharing online content such as videos, pictures, and blog posts on YouTube, Instagram, Twitter, TikTok, and so on (Marwick 2013; Duffy and Hund 2015; Duffy 2017; Bishop 2019; Stuart 2020; Burgess and Green 2018).”
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“…will situate these strategies within legacies of scholarship on human interventions and circumventions of algorithms and algorithmic imaginaries (Bishop, 2019, 2020; Bucher, 2017, 2018; van der Nagel, 2018; Willson, 2017), content moderation practices and circumventions (Gerrard, 2018;…”
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“However, users have valuable insights to share about algorithms, because algorithmic outcomes arise from highly contextual data inputs that become visible through located, embodied experiences (Bishop, 2019; Cotter, 2020).”
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“(Biel and Gatica-Perez, 2013) x x x x x (Bishop, 2019) x x x x x x x”
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“These knowledge practices are characterised by algorithmic gossip: “communally and socially informed knowledge” (Bishop, 2019, p. 2590) that draws on and accumulates vernacular algorithmic lore, “a mix of data-informed assumptions that are weaved into a subjective narrative” (Bishop, 2020, p. 1).”
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“For instance, O ’ Meara (2019) and Bishop (2019), respectively, on Instagram and YouTube, explore the practices through which communities of in fl uencers manage to manipulate platforms ’ algorithms in order to make their posts more visible.”
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“…to literature across fame/celebrity studies (Abidin, 2016; Hearn and Schoenhoff, 2016; Khamis et al., 2017); sociologies of work and labor (Duffy and Hund, 2015; Duffy, 2017; O’Meara, 2019); and media industry studies/entertainment (Bishop, 2019; Cunningham and Craig, 2019), among others.”
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“Taken together, the trio of affordances enable TikTokers to enhance both algorithmic and analogue visibility (Abidin, 2021; Bishop, 2019) on the platform, thus maximizing their occurrence on the FYP when a social movement or discourse is (on the cusp of) trending on TikTok, as a foray into gesticular activism.”
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“Chinese beauty bloggers are not completely different from their Western counterparts: both gain reputations on user-generated content (UGC) platforms, rely on consumer culture, monetise their reputations, and mainly target women (García-Rapp 2016, Bishop 2018, Hou 2018, Bishop 2019).”
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“Trial and error Algorithmic gossip (Bishop 2019), visibility game, A/B testing (Cotter 2019), algoactivism (leveraging algorithms) (Kellogg et al.”
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“TikTok ≠ therapy”: Mediating mental health and algorithmic mood disorders
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“The workings of algorithms structure creator visibility on media platforms (Bishop, 2019; Bucher, 2012; Duffy and Meisner, 2022), and TikTok is also interested in high-lighting content with monetization potential (Smith, 2021).”
Bonini, T., Treré, E., Yu, Z., Singh, S., Cargnelutti, D., & López-Ferrández, F. J. (2023) · Convergence The International Journal of Research into New Media Technologies · doi:10.1177/13548565231153505 · Cited by 53 · see citing works
“In these environments, workers discuss the dynamics of the algorithm and ‘ gossip ’ around it (Bishop, 2019), develop different levels of algorithmic awareness (Eslami et al., 2015; Gran et al., 2021) and build bonds of solidarity (Anwar and Graham, 2021; Maf fi e, 2020; Tassinari and Maccarone,…”
Mardon, R., Cocker, H., & Daunt, K. L. (2023) · Journal of Marketing Management · doi:10.1080/0267257x.2022.2149609 · Cited by 49 · see citing works
“Whilst prior research has highlighted the impact of racial identities and related norms on SMIs’ social media performances (e.g. Arthur, 2021; Bishop, 2018, 2019), we have a limited understanding of their impact on consumers’ evolving para-social relationships and resultant consumer behaviours,…”
Delmonaco, D., Mayworm, S., Thach, H., Guberman, J., Augusta, A., & Haimson, O. L. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3637431 · Cited by 60 · see citing works
“Algorithmic gossip is one way to spread “algorithmic lore” [14, 89] about how a platform’s algorithms function without actual proprietary knowledge to confirm the algorithmic techniques used.”
BackgroundMethodInfluentialIonescu, C. G., & Licu, M. (2023) · Social Sciences · doi:10.3390/socsci12080465 · Cited by 44 · see citing works
“A study shows the concept of “affective capitalism”, where all the desires, emotions, and forms of expressivity are becoming raw materials in a wider economic infrastructure (Hearn 2017, 2019).”
BackgroundMaddox, J., & Gill, F. (2023) · Social Media + Society · doi:10.1177/20563051231213565 · Cited by 64 · see citing works
“But scholars (Bishop, 2019; Crawford, 2016; Schellewald, 2021) caution against fetishizing the algorithm.”
BackgroundHeiland, H. (2023) · New Technology Work and Employment · doi:10.1111/ntwe.12282 · Cited by 46 · see citing works
Silenced on social media: the gatekeeping functions of shadowbans in the American Twitterverse
Jaidka, K., Mukerjee, S., & Lelkes, Y. (2023) · Journal of Communications · doi:10.1093/joc/jqac050 · Cited by 41 · see citing works
Strategic Invisibility: How Creators Manage the Risks and Constraints of Online Hyper(In)Visibility
Stegeman, H. M., Are, C., & Poell, T. (2024) · Social Media + Society · doi:10.1177/20563051241244674 · Cited by 45 · see citing works
“This was specified in the application because most participants wanted to be credited and named for sharing their stories, which we respected as a form of crediting of who deserves to be seen as an algorithmic expert, in line with research by Bishop (2019).”
Silva, D. E., Chen, C., & Zhu, Y. (2022) · New Media & Society · doi:10.1177/14614448221098042 · Cited by 46 · see citing works
“For instance, beauty vloggers have tried to share “algorithmic gossip” about YouTube as part of their strategies to maintain visibility on the platforms (Bishop, 2019: 2590).”
BackgroundRemixing war: An analysis of the reimagination of the Russian–Ukraine war on TikTok
Primig, F., Szabó, H. D., & Lacasa, P. (2023) · Frontiers in Political Science · doi:10.3389/fpos.2023.1085149 · Cited by 40 · see citing works
“, in the form of “algorithmic gossip” (Bucher, 2017; Bishop, 2019).”
BackgroundAlgorithmic media use and algorithm literacy: An integrative literature review
Gagrčin, E., Naab, T. K., & Grub, M. F. (2024) · New Media & Society · doi:10.1177/14614448241291137 · Cited by 67 · see citing works
“In coding for the affective dimension of AL ( n = 79), we included articles on how users “feel” and “sense” algorithms (e.g., Bishop, 2019).”
InfluentialCopyright Gossip: Exploring Copyright Opinions, Theories, and Strategies on YouTube
Kaye, D. B. V., & Gray, J. E. (2021) · Social Media + Society · doi:10.1177/20563051211036940 · Cited by 41 · see citing works
“…through Content ID, an algorithmic “blackbox” (Pasquale, 2015) about which information is limited, this study provides insights into how YouTube creators understand, experience, and interact with a blackbox system that is central to the financial viability of their careers (Bishop, 2019, p. 2590).”
BackgroundInfluentialMa, R., Gui, X., & Kou, Y. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581106 · Cited by 46 · see citing works
“For example, they needed to creatively synchronize content across platforms by empathizing and researching platform-specific audiences’ interests, sometimes along with the learning cost for technical affordances such as creator tools and algorithms [12, 13, 78].”
BackgroundAre, C. (2024) · New Media & Society · doi:10.1177/14614448241228544 · Cited by 47 · see citing works
“Community guidelines are enforced through algorithms, ‘codified step-by-step pro-cesses’ platforms use ‘to afford or restrict visibility’ (Bishop, 2019: 2590).”
BackgroundMethodInfluential‘What I’m not gonna buy’: Algorithmic culture jamming and anti-consumer politics on YouTube
Wood, R. (2020) · New Media & Society · doi:10.1177/1461444820939446 · Cited by 39 · see citing works
“As Bishop (2019) notes, maintaining algorithmic ‘complicity’ is an ‘ongoing project’ for vloggers (p. 3).”
BackgroundWhat’s “Up Next”? Investigating Algorithmic Recommendations on YouTube Across Issues and Over Time
Matamoros-Fernández, A., Gray, J. E., Bartolo, L., Burgess, J., & Suzor, N. P. (2021) · Media and Communication · doi:10.17645/mac.v9i4.4184 · Cited by 46 · see citing works
Moran, R. E., Grasso, I., & Koltai, K. (2022) · Social Media + Society · doi:10.1177/20563051221144252 · Cited by 40 · see citing works
“The secrecy and technical complexity of social media sites has led to what Bishop (2019) calls “mystification”—an inability for users to gain a full or substantive understanding of the online spaces they inhabit.”
BackgroundInfluentialEngineering culture: logics of optimization in music, games, and apps
Morris, J. W., Prey, R., & Nieborg, D. B. (2021) · Review of Communication · doi:10.1080/15358593.2021.1934522 · Cited by 37 · see citing works
“57 As app stores age, the metrics they use to surface apps (e.g., click-through rate, discards, update frequency, number of crashes) are getting more fi ne-grained while keywords and other basic metadata are no longer as credible or valuable in ranking algorithms.”
BackgroundPhenomenal algorhythms : The sensorial orchestration of “real-time” in the social media manifold
Lupinacci, L. (2022) · New Media & Society · doi:10.1177/14614448221109952 · Cited by 37 · see citing works
“…the agency of social media (and processes such as mediation and personalization) is perceived by ordinary users in the context of everyday life (Bishop, 2019; Bucher, 2017, 2018, 2020; Kant, 2020; Seaver, 2017), I suggest that understanding social media’s time through the lens of phenomenal…”
BackgroundInfluentialAhmmad, M., Shahzad, K., Iqbal, A., & Latif, M. (2025) · Societies · doi:10.3390/soc15110301 · Cited by 72 · see citing works
“Third, without drawing on diverse methodological traditions, ranging from computational audits [13,14] to ethnographic analyses [24], interventions to mitigate these risks are likely to be partial or ineffective.”
“How it actually works”: Algorithmic lore videos as market devices
MacDonald, T. W. (2023) · New Media & Society · doi:10.1177/14614448211021404 · Cited by 37 · see citing works
“These strategies include crowdsourcing information about employers (Irani and Silberman, 2013) and algorithmic systems (Bishop, 2019); or making oneself “algorith-mically recognizable” to platform algorithms (Gillespie, 2017) through practices of self-optimization (Bishop, 2018; Cotter, 2018).”
BackgroundNo Targets, Just Vibes: Tuned Advertising and the Algorithmic Flow of Social Media
Brown, M.-G., Carah, N., Robards, B., Dobson, A. S., Rangiah, L., & Lazzari, C. (2024) · Social Media + Society · doi:10.1177/20563051241234691 · Cited by 36 · see citing works
“Second, in this study, we analyzed only the collections of ads with some limited co-analysis and “algorithmic gossip” (Bishop, 2019) via SMS chat.”
MethodHuang, Y., & Ye, W. (2024) · Convergence: The International Journal of Research into New Media Technologies · doi:10.1177/13548565231211117 · Cited by 37 · see citing works
“The emotional labor catering to advertisers and audiences ’ feeds into metrics that evaluate the creative work visibility (Bishop, 2019).”
BackgroundZhang, Y., Huang, S., & Li, T. (2022) · Information Communication & Society · doi:10.1080/1369118x.2022.2161829 · Cited by 34 · see citing works
“Based on their understanding of algorithms, platform users can strengthen their online presence (Bishop, 2019) and resist being marginalized by algorithms (Karizat et al., 2021).”
BackgroundHarris, B. C., Foxman, M., & Partin, W. C. (2023) · Social Media + Society · doi:10.1177/20563051231177944 · Cited by 34 · see citing works
“Under these grueling conditions, creators develop methods to “game” or manipulate a platform’s algorithmic ranking (O’Meara, 2019; Petre et al., 2019), by amplifying their content’s visibility in the crowded SME (Bishop, 2019; Cotter, 2019; Cunningham & Craig, 2019; Duffy & Meisner, 2022).”
BackgroundHunt, R. L., & McKelvey, F. R. (2019) · Journal of Information Policy · doi:10.5325/jinfopoli.9.2019.0307 · Cited by 39 · see citing works
Evolution of digital activism on social media: opportunities and challenges
Esparcia, A. C., Castaño, L. C., & Martínez, A. A. (2023) · El Profesional de la Informacion · doi:10.3145/epi.2023.may.03 · Cited by 33 · see citing works
“…values are inscribed in the design of its algorithms ( Van-Dijck et al. , 2018), but because its configuration is opaque to regulators and users ( Bishop , 2019; Cotter , 2019; Cardon , 2018; Miyazaki , 2019) and algorithmic visibility marketing options have reduced the ability of activists to…”
“Pose”: Examining moments of “digital” dark sousveillance on TikTok
Peterson‐Salahuddin, C. (2022) · New Media & Society · doi:10.1177/14614448221080480 · Cited by 36 · see citing works
“I read these videos as manifestations of what Sophie Bishop (2019) calls “algorithmic gossip,” communally informed user knowledge about algorithms and algorithmic visibility shared socially by users of the platform.”
BackgroundGriffin, R. (2022) · Transnational Legal Theory · doi:10.1080/20414005.2023.2203538 · Cited by 32 · see citing works
Algorithmic imaginings and critical digital literacy on #BookTok
Low, B., Ehret, C., & Hagh, A. (2023) · New Media & Society · doi:10.1177/14614448231206466 · Cited by 31 · see citing works
“They resemble “algorithmic gossip,” the “communally and socially informed theories and strategies pertaining to recommender algorithms, shared and implemented to engender financial consistency and visibility” (Bishop, 2019: 2589).”
Issar, S. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2233138 · Cited by 37 · see citing works
“…take up the mantle of disseminating ways and means of leveraging algorithmic decisions in the interest of overcoming the information asymmetries (Bishop 2019; Cotter 2019; Cotter & Reisdorf 2020; Gillespie 2017; Irani & Silberman 2013) created by the processes of platformization, and the…”
Verwiebe, R., & Hagemann, S. (2024) · Information Communication & Society · doi:10.1080/1369118x.2024.2358170 · Cited by 50 · see citing works
“Through prosumption, digital platforms translate users’ data into an image of themselves, offering insights into their tastes, interests, habits, and world-views (Mau, 2019).”
InfluentialDroz-dit-Busset, O. A. (2022) · Discourse Context & Media · doi:10.1016/j.dcm.2022.100629 · Cited by 28 · see citing works
Digital Platforms and Algorithmic Subjectivities
Armano, E., Briziarelli, M., & Risi, E. (2022) · University of Westminster Press eBooks · doi:10.16997/book54 · Cited by 31 · see citing works
Zhang, L., Bi, W., Zhang, N., & He, L. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2267931 · Cited by 27 · see citing works
“Motivated by this concept, some researches have verified that algorithmic resistance does exist in various contexts (Bishop, 2019; Bucher, 2017; Lv et al., 2022).”
Subjectivity and algorithmic imaginaries: the algorithmic other
Gandini, A., Gerosa, A., Giuffrè, L., & Keeling, S. (2023) · Subjectivity · doi:10.1057/s41286-023-00171-w · Cited by 28 · see citing works
“…known as ‘critical algorithm studies’, where other research— such as, among others, ‘algorithmic folk theories’ (Siles et al. 2020; Ytre-Arne and Moe 2021) and ‘algorithmic gossip’ (Bishop 2019)—shares a common focus on users’ perception and agency towards algorithms (cf. Lomborg and Kapsch 2020).”
Precarity, discrimination and (in)visibility
Glatt, Z. (2022) · Routledge eBooks · doi:10.4324/9781003175605-53 · Cited by 27 · see citing works
How conspicuousness becomes productive on social media
Bainotti, L. (2023) · Marketing Theory · doi:10.1177/14705931231202435 · Cited by 26 · see citing works
“Furthermore, attention has been paid to how visibility labour is becoming more and more intertwined with algorithmic visibility (see, e.g., Bishop, 2019).”
BackgroundJiménez, C., & Edwards, L. (2022) · Communication and the Public · doi:10.1177/20570473221146661 · Cited by 26 · see citing works
“…contemporary digitalised practice, as well as a reward acquired by those who secure attention from desirable audiences, especially the media (e.g., Aronczyk et al., 2017; Banet-Weiser, 2018; Bishop, 2019; Draper, 2020; Duffy & Hund, 2019; Kanai & Gill, 2020; Savolainen et al., 2022; Sobande, 2019).”
BackgroundPeripheral Creator Cultures in India, Ireland, and Turkey
Bidav, T., & Mehta, S. (2024) · Social Media + Society · doi:10.1177/20563051241234693 · Cited by 24 · see citing works
“Thus, we contribute to the previous research on SME (Cunningham & Craig, 2019) and creator labor that have extensively focused on economic and algorithmic precarities within the political economy of SME (Bishop, 2019; Duffy et al., 2021).”
BackgroundResultWang, X., & Cao, S. (2024) · The Journal of Chinese Sociology · doi:10.1186/s40711-024-00213-z · Cited by 35 · see citing works
“According to Bishop’s research, YouTube beauty bloggers discuss in Facebook groups how to gain visibility on the platform, and their informal exchange of information about algorithms is referred to by Bishop as “algorithmic gossip”, a more recent popular concept in relevant research (Bishop 2019).”
BackgroundMethodLin, H. (2025) · Social Media + Society · doi:10.1177/20563051251313610 · Cited by 24 · see citing works
“…chat groups afford a freedom chat space to resist the manipulation of food delivery corporations by enabling food delivery workers to discuss the dynamics of the algorithm and “gossip” around it (Bishop, 2019), develop algorithmic awareness (Eslami et al., 2016), and build bonds of solidarity.”
Digital intermediation: Unseen infrastructures for cultural production
Hutchinson, J. (2021) · New Media & Society · doi:10.1177/14614448211040247 · Cited by 27 · see citing works
User-generated accountability: Public participation in algorithmic governance on YouTube
Reynolds, C., & Hallinan, B. (2024) · New Media & Society · doi:10.1177/14614448241251791 · Cited by 22 · see citing works
“…with platform governance issues through content production, although it tends to focus on specific issues such as copyright enforcement (Kaye and Gray, 2021) and demonetization (Caplan and Gillespie, 2020), or specific communities such as beauty vloggers (Bishop, 2019) and BreadTube (Cotter, 2022).”
InfluentialTaylor, Z. A., & Abidin, C. (2024) · International Journal of Cultural Studies · doi:10.1177/13678779241276751 · Cited by 23 · see citing works
“…visibility are informed by the perceptions of casual users, conceptualized as an ‘ algorithmic imaginary ’ (Bucher, 2017), ‘ algorithmic gossip ’ (Bishop, 2019), ‘ algorithmic folklore ’ (Savolainen, 2022), ‘ algorithmic awareness ’ (Issar, 2023), and ‘ algorithmic folk theories ’…”
Ramizo, G. J. (2021) · Information Communication & Society · doi:10.1080/1369118x.2021.1897151 · Cited by 23 · see citing works
“…to execute several user strategies, such as forming ‘ pods ’ where they contrive reciprocal engagements (Cotter, 2019), employ third party bots on social media (Petre et al., 2019), or form communities that exploit recommender algorithms (Bishop, 2019) – all to boost visibility and fi nancial gain.”
BackgroundMiller, V., & Hogg, E. (2023) · Convergence The International Journal of Research into New Media Technologies · doi:10.1177/13548565231161810 · Cited by 23 · see citing works
“A number of authors (Ahmad et al., 2021; Bishop, 2019, 2020; Glotfelter, 2019) have researched the impact of the ‘black box’ that is YouTube’s video recommendation algorithm on content creators’ efforts to monetise their labour and make a career as a YouTuber.”
BackgroundKojah, S. A., Zhang, Z., Are, C., Delmonaco, D., & Haimson, O. L. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3701191 · Cited by 22 · see citing works
The Internet and public policy: Future directions
Margetts, H. Z., Lehdonvirta, V., González‐Bailón, S., Hutchinson, J. P., Bright, J., Nash, V., & Sutcliffe, D. (2021) · Policy & Internet · doi:10.1002/poi3.263 · Cited by 22 · see citing works
Lindquist, J. A., & Weltevrede, E. (2024) · Social Media + Society · doi:10.1177/20563051231224721 · Cited by 22 · see citing works
“…test the limits of platform authenticity have led scholars to develop concepts such as “algorithmic imaginary” (Bucher, 2018), “algorithmic gossip” (Bishop, 2019), and “influencer imaginary” (Arriagada & Bishop, 2021) to study how content creators and social media users perceive what…”
BackgroundInfluentialBeing watched and being seen: Negotiating visibility in the NYC ride-hail circuit
Mosseri, S. (2020) · New Media & Society · doi:10.1177/1461444820966752 · Cited by 21 · see citing works
“Notably, the hypervisibility of ride-hail platform workers contrasts the threat of invisibility faced by digital platform workers in feminized labor markets (Bishop, 2019; Cotter, 2018; Ticona and Mateescu, 2018).”
BackgroundMethodological and epistemological challenges in meme research and meme studies
Galip, I. (2024) · Internet Histories · doi:10.1080/24701475.2024.2359846 · Cited by 21 · see citing works
“Similarly, shadowbanning has been a topic of conversation among social media users (see: algospeak ) as well as academics (Bishop, 2019; Cotter, 2023; Gillespie, 2022; Savolainen, 2022) and points towards a growing need for the public to be aware of what rules govern their visibility on social…”
Why do people resist algorithms? From the perspective of short video usage motivations
Xie, X., Du, Y., & Bai, Q. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.941640 · Cited by 21 · see citing works
“In line with previous research on algorithmic awareness and behavior, the findings strengthen the active role of users (Belanche et al., 2017b, 2019; Dogruel et al., 2020).”
BackgroundResultMeisner, C. (2023) · Policy & Internet · doi:10.1002/poi3.359 · Cited by 21 · see citing works
Dependence in the online screen industry
Idiz, D. R., & Poell, T. (2024) · Media Culture & Society · doi:10.1177/01634437241286725 · Cited by 20 · see citing works
“YouTube’s recommender system and autoplay feature have, for example, been found to discriminate against people of color and LGBTQ + creators (Bishop, 2019; Caplan and Gillespie, 2020) and promote sensational, conspiratorial, extreme, or graphic content (McKelvey and Hunt, 2019: 4).”
InfluentialDiscursive contestations of algorithms: a case study of recommendation platforms in China
Meng, J. (2021) · Chinese Journal of Communication · doi:10.1080/17544750.2021.1875491 · Cited by 20 · see citing works
“” In a similar vein, Bishop (2019) borrowed the idea of “ gossip ” to study YouTube beauty vloggers ’ (i.e. video bloggers) algorithmic knowledge and the way in which they manage algorithmic visibility accordingly.”
BackgroundAlgorithmic autobiographies and fictions: A digital method
Bishop, S., & Kant, T. (2023) · The Sociological Review · doi:10.1177/00380261221146403 · Cited by 20 · see citing works
“Users are fatigued – but they also routinely discuss, imagine, theorise around and develop affective relationships with the technology that they use (Bishop, 2019; Bucher, 2018; Kant, 2020).”
BackgroundSelf-citationVegan YouTubers Performing Ethical Beliefs
Harding, K., & Day, A. (2020) · Religions · doi:10.3390/rel12010007 · Cited by 19 · see citing works
“…engaged in a “visibility game” that is constructed around the “rules” encoded within opaque proprietary algorithms (Cotter 2019, p. 895), with vloggers sometimes engaging in “algorithmic gossip” to gain visibility on social media platforms that are algorithmically structured (Bishop 2019, p. 2589).”
Background
- Authors
- Bishop, S.
- Affiliations
- King's College London (GB)
- Corresponding author
- Bishop, Sophie
- ORCID
- Bishop, Sophie
- Venue
- New Media & Society
- Publisher
- SAGE Publications
- Published
- 2019-06-15
- Volume
- 21
- Issue
- 11-12
- Pages
- 2589-2606
- ISSN
- 1461-4448 (ISSN-L)
- 1461-7315
- OpenAlex
- W2951551356
- Cited by
- 535
- References
- 46
- Citations by year
- 2026: 131 · 2025: 106 · 2024: 91 · 2023: 83 · 2022: 60 · 2021: 46 · 2020: 16 · 2019: 2
- FWCI
- 54.16
- Type
- journal article
- Language
- en
- Open access
- green
- kclpure.kcl.ac.uk
- Locations
- New Media & Society (publishedVersion)
- Research Portal (King's College London) (submittedVersion, other-oa)
- Topics
- Social Sciences › Gender Studies › Gender, Feminism, and Media
- Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
- Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
- Keywords
- beauty vloggers, YouTube, algorithmic visibility, recommendation algorithms, social networking sites, algorithmic knowledge
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