Sökning: "algorithmic"
Visar resultat 1 - 5 av 298 uppsatser innehållade ordet algorithmic.
1. SAKTA NER ELLER SKROLLA VIDARE? En studie av användarna på TikTok om sin upplevelse av korta medieformat och dess påverkan
Kandidat-uppsats, Göteborgs universitet/Institutionen för journalistik, medier och kommunikationSammanfattning : This study delves into the user experiences and perceptions of short media formats on TikTok and their impact on users' attention spans. Drawing from theoretical frameworks such as attention theory, media ecology, and uses and gratifications theory, the study conducted qualitative interviews with six participants to delve deeper into their experiences. LÄS MER
2. Scrollande hjärnor, kalkylerade annonser: en studie om konsumenters attityder till algoritmisk marknadsföring i sociala medier och dess bakomliggande faktorer
Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionenSammanfattning : Existing literature argues that with the commercialisation of the Internet, marketing has moved from a physical activity to a fluid and digital one. Over time, social media has become a central and important channel for reaching consumers, which has fundamentally changed the way marketing is conducted today. LÄS MER
3. TRIGONOMETRI
Kandidat-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaperSammanfattning : This literature review compiles research related to students' conception, obstacles and problems with trigonometry as well as teacher resources that can be used to develop students' understanding in the field. The research spans year 6 through university courses. LÄS MER
4. ASSESSING PUBLIC OPINION ON ALGORITHMIC FAIRNESS Reviewing practical challenges and the role of contextual factors
Master-uppsats, Institutionen för tillämpad informationsteknologiSammanfattning : AI ethicists often claim that where algorithmic decision-making is impacting human lives, it is crucial to strive for transparency and explainability. As one form of achieving these, some authors have argued for socio-technical design of AI systems that involves the user in the design process. LÄS MER
5. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction
Master-uppsats, Uppsala universitet/Nationellt resurscentrum för biologi och bioteknikSammanfattning : The rapid progress in high-throughput omics methods and high-resolution morphological profiling, coupled with the significant advances in machine learning (ML) and deep learning (DL), has opened new avenues for tackling the notoriously difficult problem of predicting the Mechanism of Action (MoA) for a drug of clinical interest. Understanding a drug's MoA can enrich our knowledge of its biological activity, shed light on potential side effects, and serve as a predictor of clinical success. LÄS MER