Data obtained in laboratory settings is a valid but resource-demanding approach. Moreover, although aspects of both metacognition and metaemotion have been proposed to be important for socioemotional functioning, such associations have rarely been studied previously. This study aimed to examine the feasibility of a multimodal online-assessment of emotion recognition ability, and to investigate its associations with metacognition and metaemotion. The sample consisted of 106 students from three Swedish universities. The online-survey included a multimodal emotion recognition test (ERAM) with added trial-by-trial confidence judgments (to measure metacognition) and questionnaires related to metaemotion. Online-data showed great consistency with previous data collected in lab. Well-calibrated adults had higher emotion recognition accuracy than under-confident adults. Higher levels of negative metaemotions were associated with higher emotion recognition accuracy. In conclusion, online-assessments of emotional abilities may be a useful approach. Further research is required to understand relationships between metacognition, metaemotion, and emotion recognition ability more fully.

The dissertation is titled "The trend of zombification in a current film and series production - audience-based research" and is aimed at explaining why people seek zombie themed series and movies. In the theoretical part, the author introduces the concept of a zombie in terms of its dominant position within the popular culture. With the historical background and the theoretical frame of the topic, the results of the audience research, that was focused mainly on the fans of a zombie genre, will be presented. By comparison of the media product discourse and the public discourse, the analysis reve als the hypothesis describing the relationship between the audience and the media content with a zombie theme. The research is based on a qualitative method of grounded theory. The methods of semi-structured interview and participant observation were used to collect the data.