Commenting, sharing and tweeting news : Measuring online news participation

Social plugins for sharing news through Facebook and Twitter have become increasingly salient features on news sites. Together with the user comment feature, social plugins are the most common way for users to contribute. The wide use of multiple features has opened new areas to comprehensively study users’ participatory practices. However, how do these opportunities to participate vary between the participatory spaces that news sites affiliated with local, national broadsheet and tabloid news constitute? How are these opportunities appropriated by users in terms of participatory practices such as commenting and sharing news through Facebook and Twitter? In addition, what differences are there between news sites in these respects? To answer these questions, a quantitative content analysis has been conducted on 3,444 articles from nine Swedish online newspapers. Local newspapers are more likely to allow users to comment on articles than are national newspapers. Tweeting news is appropriated only on news sites affiliated with evening tabloids and national morning newspapers. Sharing news through Facebook is 20 times more common than tweeting news or commenting. The majority of news items do not attract any user interaction.

Credible or not : A study on the factors influencing consumers' credibility assessment of product placements on Instagram

Background: To align with the new trend of using social media in the marketing mix, product placement has been adapted to social media platforms as one strategy to create attention. Especially on Instagram, product placements have gained popularity among companies. While scholars have focused on measuring the effectiveness of the strategy, suggesting that credibility is one component necessary for success, a gap in the research is illuminated when focusing on what makes a product placement on Instagram credible. Previous studies regarding credibility and its relation to traditional media have concluded that there are some factors essential in consumers’ credibility evaluation process. Since social media differs from traditional media, there was a need to investigate the applicability of credibility to the social media platform Instagram. Purpose: The purpose of this thesis was to examine key factors of product placement on Instagram that influence credibility. Method: To meet the purpose of this thesis a study with a mixed method research design was conducted. The qualitative data was collected through semi-structured interviews with the intention to discover how consumers evaluate credibility. The scales and items developed from the findings of the qualitative study were tested using a questionnaire to identify which factors that have the most influence on consumers’ credibility assessment. Conclusions: The overall findings indicate that consumers evaluate credibility based upon source, message and receiver characteristics. The empirical evidence suggests that the Expertise of influencer, Professionalism of picture, Trustworthiness of influencer, Connection to influencer and Causes of irritation are the factors that have the most influence on consumers’ credibility assessment of product placement on Instagram. The findings further implies that it is not only the factor itself that influence, credibility can additionally be transferred from one factor to another.

Big data, smart homes and ambient assisted living

Objectives: To discuss how current research in the area of smart homes and ambient assisted living will be influenced by the use of big data. Methods: A scoping review of literature published in scientific journals and conference proceedings was performed, focusing on smart homes, ambient assisted living and big data over the years 2011-2014. Results: The health and social care market has lagged behind other markets when it comes to the introduction of innovative IT solutions and the market faces a number of challenges as the use of big data will increase. First, there is a need for a sustainable and trustful information chain where the needed information can be transferred from all producers to all consumers in a structured way. Second, there is a need for big data strategies and policies to manage the new situation where information is handled and transferred independently of the place of the expertise. Finally, there is a possibility to develop new and innovative business models for a market that supports cloud computing, social media, crowdsourcing etc. Conclusions: The interdisciplinary area of big data, smart homes and ambient assisted living is no longer only of interest for IT developers, it is also of interest for decision makers as customers make more informed choices among today's services. In the future it will be of importance to make information usable for managers and improve decision making, tailor smart home services based on big data, develop new business models, increase competition and identify policies to ensure privacy, security and liability.