Results 31 to 40 of about 35,088 (292)
Searching for biased information? Informational strategies and algorithmic curation
, 2022 The project and this paper were funded by the Bavarian Research Institure for Digital Transformation.
Schwabl, Patrick +2 more
openaire +1 more source
Watch, Scroll, Repeat: How Interface Design Shapes Consumptive Curation Affordances on TikTok
Social Media + SocietySocial media’s transition into algorithmic content recommendations, accelerated by TikTok’s entry into the ecosystem, has reshaped platforms’ consumptive curation affordances, reducing users’ ability to curate their feeds directly.
Carlos Entrena-Serrano
doaj +1 more source
When users control the algorithms: Values expressed in practices on the twitter platform [PDF]
, 2019 Recent interest in ethical AI has brought a slew of values, including fairness, into conversations about technology design. Research in the area of algorithmic fairness tends to be rooted in questions of distribution that can be subject to precise ...
Burrell, J +3 more
core
Molecular Oncology, EarlyView.Detection of extrachromosomal circular DNA (eccDNA) in plasma samples from EGFR‐mutated non‐small cell lung cancer patients. Plasma was collected before and during treatment with the EGFR‐tyrosine kinase inhibitor osimertinib. Plasma eccDNA was detected in all cancer samples, and the presence of the EGFR gene on eccDNA serves as a potential biomarker ...
Simone Stensgaard +5 more
wiley +1 more source
Social Media + SocietyAn increasing number of users are aware of algorithmically driven content curation. Yet, while numerous studies have examined how people understand algorithmic power, there are insufficient numbers of studies about how people respond to and resist ...
Hui Lin
doaj +1 more source
Thinking Outside the Black-Box: The Case for “Algorithmic Sovereignty” in Social Media
Social Media + Society, 2020 This article is an interdisciplinary critical analysis of personalization systems and the gatekeeping role of current mainstream social media. The first section presents a literature review of data-driven personalization and its challenges in social ...
Urbano Reviglio, Claudio Agosti
doaj +1 more source
Next‐generation proteomics improves lung cancer risk prediction
Molecular Oncology, EarlyView.This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source
Computers in Human Behavior Reports, 2023 No social media user sees the same feed. These platforms are personalized to the individual with the aid of algorithms that filter and prioritize content based on users' demographic profiles and personal data.
Ragnhild Eg +2 more
doaj +1 more source
Tackling the spread of disinformation Why a co-regulatory approach is the right way forward for the EU. Bertelsmann Stiftung Policy Paper 12 December 2019 [PDF]
, 2019 In recent years social media platforms have led to an unprecedented increase in the spread of disinformation. Concerns about these new and dynamic ways to spread falsehoods have brought politicians and regulators onto the stage. In this paper Paul-Jasper
Dittrich, Paul-Jasper
core
Improving fairness in machine learning systems: What do industry practitioners need?
, 2019 The potential for machine learning (ML) systems to amplify social inequities and unfairness is receiving increasing popular and academic attention. A surge of recent work has focused on the development of algorithmic tools to assess and mitigate such ...
ACM. +28 more
core +1 more source