This study attempts to explore and triangulate with different methods the essence, definition, and methods of the grassroots practitioner term growth hacking. In the qualitative first part of our study, we conduct 12 expert informant interviews and a case study. In the quantitative second part of the study, we conduct a quantitative Twitter analysis to gain additional insights on the findings from the qualitative first part. As a result, we differentiate growth hacking from traditional marketing strategies and create a growth hacking process model depicting a sort of consensus of what can be thought to be integral parts of growth hacking.
This paper sheds light on cultural differences in the understanding of historical military events between Chinese, English, French, German, and Swedish Wikipedia language editions. Differences in understanding historical events can lead to intercultural misinterpretation and conflicts that cause negative consequences for international relations. We identified the most important historical events, mined cross-cultural relations, investigated word usage in war-related pages and performed network, complexity, and sentiment analysis. We also analyzed the usage of war-related words and the quantity of war-related events mentioned in different languages. Our findings suggest that World War I and World War II are the most important historical events within English, French, and German cultures and English Wikipedia contains more violence and war-related content, with a higher level of complexity than other language editions.
Capturing and sharing images of ourselves and others has given rise to many applications and much human-computer interaction research. Social media has made it faster and easier than ever to share such photos, with "selfies", or photographs taken of oneself, invading popular culture. In this workshop, we will bring together researchers studying images of people in the context of HCI, whether thru mining such data, analyzing its use, or creating novel UIs for such.