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SAGE Handbook of Social Media Research Methods

E-book Epub met adobe beveiliging Nederlands 2017 1e druk 9781473987975
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108,94

Samenvatting

The SAGE Handbook of Social Media Research Methods offers a step-by-step guide to overcoming the challenges inherent in research projects that deal with 'big and broad data', from the formulation of research questions through to the interpretation of findings. The handbook includes chapters on specific social media platforms such as Twitter, Sina Weibo and Instagram, as well as a series of critical chapters.

The holistic approach is organised into the following sections:
- Conceptualising & Designing Social Media Research
- Collection & Storage
- Qualitative Approaches to Social Media Data
- Quantitative Approaches to Social Media Data
- Diverse Approaches to Social Media Data
- Analytical Tools
- Social Media Platforms

This handbook is the single most comprehensive resource for any scholar or graduate student embarking on a social media project.

Specificaties

ISBN13:9781473987975
Trefwoorden:internet, social media
Taal:Nederlands
Bindwijze:e-book
Beveiliging:adobe
Bestandsformaat:epub
Aantal pagina's:728
Druk:1
Verschijningsdatum:26-1-2017

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Over Luke Sloan

Dr Luke Sloan is a Reader, Deputy Director of the Social Data Science Lab, and Co-Director of Cardiff Q-Step at the School of Social Sciences at Cardiff University, UK. Luke's internationally recognised work focuses on exploring how social media data, specifically from Twitter, can be used for social scientific research. He is co-editor of the SAGE Handbook of Social Media Research Methods and has published widely on how Twitter can help us understand social phenomena and the ethics of using this data for research. His work has appeared in journals including Sociology, Social Media + Society, the British Journal of Criminology, Electoral Studies, PLoS ONE, and the Journal of Empirical Research on Human Research Ethics.

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Over Anabel Quan-Haase

Western University, Canada.

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        SAGE Handbook of Social Media Research Methods