What can we learn from the Facebook—Cambridge Analytica Scandal?

Tarran, Brian

doi:10.1111/j.1740-9713.2018.01139.x

Cited by 20 publications

(8 citation statements)

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“…Use of personal data without explicit user consent has recently put technology companies in the public spotlight . In contrast, it appears that fewer concerns have been raised regarding the use of medical records and biospecimens, which are also sensitive, for secondary use purposes such as research.…”

Section: Introductionmentioning

confidence: 99%

Patient Perspectives About Decisions to Share Medical Data and Biospecimens for Research

Kim

Bell

et al. 2019

JAMA Netw Open

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Section: Introductionmentioning

confidence: 99%

Patient Perspectives About Decisions to Share Medical Data and Biospecimens for Research

Kim

Bell

et al. 2019

JAMA Netw Open

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“…Breur (2016) points out that CEO of Trump's presidential campaign (2016) was a board member of Cambridge Analytica, a data firm later on associated with deliberate manipulation and fabrication of Facebook data (cf. Laterza, 2018;Tarran, 2018;Tuttle, 2018). Secondly, it is a known fact that social media data which is a part of big data can easily be faked and distorted (Breur, 2016).…”

Section: Intentional Misrepresentations: Distortions and Manipulation...mentioning

confidence: 99%

İletişim Bilimlerinde Son Yaklaşımlar

Öze,

Yurdbekler,

Armutlu

et al. 2023

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Bu kitapta ‘İletişim Bilimlerinde Son Yaklaşımlar’ başlığı altında karşınızdayız. İlk bölümde, iletişim araştırmalarının sosyolojik kökenleri ortaya çıkarılıyor. İkinci bölüm kuramsal bir çalışma: Tocqueville, Putnam ve Bourdieu’nün düşünceleri irdeleniyor. Üçüncü bölüm, oldukça yeni bir konu olan sanatsal yapay zekaya odaklanıyor. Dördüncü bölüm, Türkiye’nin podcast panoramasını ortaya çıkarıyor. Beşinci bölümde, sinemalara yönelip marka yerleştirmelere odaklanıyoruz. Altıncı bölümde, pazarlamada mitoloji konu ediliyor. Yedinci bölüm, kapsamlı bir sinema çözümlemesine ayrıldı. Sekizinci bölümde haktivizm konusu işleniyor. Dokuzuncu bölümle birlikte İngilizce çalışmalara geçiyoruz. Bu bölümde, Coca-Cola örnek olayı inceleniyor. 10. bölümün konusu organik marketler. 11. bölüm, gözetim toplumu ve 12. bölüm büyük veri konularını ele alıyor. Değerli Okurlar, Umarım bu çok emek sarf edilmiş çalışmaları beğenirsiniz. “Devamı gelecek” diyerek sözümüze son veriyoruz. Prof. Dr. Ulaş Başar Gezgin

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“…This is typically sufficient for a city but inadequate when wishing to investigate usage at a country level. Further complicating this approach was a tightening of the geosearch API during the course of this study due to the Cambridge Analytica scandal [36]. To overcome these limitations, we implemented a simple yet novel method for extracting the images for an entire country using Instagram location ids.…”

Section: Instagrammentioning

confidence: 99%

Use of social media big data as a novel HIV surveillance tool in South Africa

Heerden

Young

2020

PLoS ONE

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Sub-Saharan Africa has been heavily impacted by the HIV/AIDS epidemic. Social data (e.g., social media, internet search, wearable device, etc) show great promise assisting in public health and HIV surveillance. However, research on this topic has primarily focused in higher resource settings, such as the United States. It is especially important to study the prevalence and potential use of these data sources and tools in low-and middle-income countries (LMIC), such as Sub-Saharan Africa, which have been heavily impacted by the HIV epidemic, to determine the feasibility of using these technologies as surveillance and intervention tools. Accordingly, we 1) described the prevalence and characteristics of various social technologies within South Africa, 2) using Twitter, Instagram, and YouTube as a case study, analyzed the prevalence and patterns of social media use related to HIV risk in South Africa, and 3) mapped and statistically tested differences in HIV-related social media posts within regions of South Africa. Geocoded data were collected over a three-week period in 2018 (654,373 tweets, 90,410 Instagram posts and 14,133 YouTube videos with 1,121 comments). Of all tweets, 4,524 (0.7%) were found to related to HIV and AIDS. The percentage was similar for Instagram 95 (0.7%) but significantly lower for YouTube 18 (0.1%). We found regional differences in prevalence and use of social media related to HIV. We discuss the implication of data from these technologies in surveillance and interventions within South Africa and other LMICs.

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What can we learn from the Facebook—Cambridge Analytica Scandal?

Abstract: As the data‐based political consulting firm shuts its doors, we get the statisticians’ perspective on the story and its impact

Cited by 20 publications

References 0 publications

Patient Perspectives About Decisions to Share Medical Data and Biospecimens for Research

Patient Perspectives About Decisions to Share Medical Data and Biospecimens for Research

İletişim Bilimlerinde Son Yaklaşımlar

Use of social media big data as a novel HIV surveillance tool in South Africa

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