Een online onderzoek naar de effecten op online participatiegedrag van verschillende communicatiestrategieën en het gebruik van hashtags.
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Studying images in social media poses specific methodological challenges, which in turn have directed scholarly attention toward the computational interpretation of visual data. When analyzing large numbers of images, both traditional content analysis as well as cultural analytics have proven valuable. However, these techniques do not take into account the contextualization of images within a socio-technical environment. As the meaning of social media images is co-created by online publics, bound through networked practices, these visuals should be analyzed on the level of their networked contextualization. Although machine vision is increasingly adept at recognizing faces and features, its performance in grasping the meaning of social media images remains limited. Combining automated analyses of images with platform data opens up the possibility to study images in the context of their resonance within and across online discursive spaces. This article explores the capacities of hashtags and retweet counts to complement the automated assessment of social media images, doing justice to both the visual elements of an image and the contextual elements encoded through the hashtag practices of networked publics.
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Sowijs deed onderzoek naar verschillende strategieën voor burgerparticipatie via sociale media. Hoe moet je Twitteren om mensen te betrekken en gebruik je dan wel of geen hashtags. Lees het in dit whitepaper!
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Twitter timelines are increasingly populated with brand tweets that are linked to public events, a practice that is also known as real-time marketing (RTM). In two studies, we examine whether RTM is an effective strategy to boost sharing behavior, and if so, what event- and content-related characteristics are likely to contribute to its effectiveness. A content analysis of brand tweets from Nielsen’s top-100 advertisers (n=1500) shows that not all events are equally effective. RTM is only a more effective strategy (vs. no real-time marketing), when brand messages are linked with unpredictable events but not when brand messages are linked with predictable events. In a follow-up study, we examined what content characteristics improve the shareability of predictable RTM messages. A content analysis of RTM messages (n=143) from the Forbes top-100 brands showed that predictable events yield more retweets when the event is visually integrated in the brand tweet (vs. not visually integrated). The presence of event-driven hashtags did not lead to more retweets. Implications for theory and practice are discussed.
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Studying images in social media poses specific methodological challenges, which in turn have directed scholarly attention towards the computational interpretation of visual data. When analyzing large numbers of images, both traditional content analysis as well as cultural analytics have proven valuable. However, these techniques do not take into account the circulation and contextualization of images within a socio-technical environment. As the meaning of social media images is co-created by networked publics, bound through networked practices, these visuals should be analyzed on the level of their networked contextualization. Although machine vision is increasingly adept at recognizing faces and features, its performance in grasping the meaning of social media images is limited. However, combining automated analyses of images - broken down by their compositional elements - with repurposing platform data opens up the possibility to study images in the context of their resonance within and across online discursive spaces. This paper explores the capacities of platform data - hashtag modularity and retweet counts - to complement the automated assessment of social media images; doing justice to both the visual elements of an image and the contextual elements encoded by networked publics that co-create meaning.
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Social media zijn vandaag de dag niet meer weg te denken. Het online gesprek gaat over merken, bedrijven, mediapersonality’s en meer. Liggen er ook kansen op social media voor educatieve instellingen zoals het Leeuwarder Lyceum om deze social media in te zetten?
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Working as speech acts that delineate online communities, claims to victimhood tend to evoke contestation. Their inherent political nature spurs user engagement in the shape of clicks, shares, emojis, and so on. TikTok’s multimodality has given rise to new practices of engagement that significantly shape how victimhood is communicated and negotiated. This study draws attention to the platform vernacular practice of the ‘stitch.’ Allowing users to respond to someone else by ‘remixing’ social media content of others, the stitch is a platform practice designed for commentary. We zoom in on stitched videos networked by hashtags, published in relation to the Israel-Hamas war. TikTok’s multimodality expands user pathways that connect claimants and those who contest them. Moving beyond hashtag hijacking the stitch elevates a practice of commentary that turns victimhood politics into a spectacle that politicizes formerly less political realms, and that further blurs the boundaries between on- and offline spaces. The analysis shows how stitched videos are especially used for antagonist encounters where they crowd out the ‘original’ post to which they respond. In this way, stitches can be seen as tools that aid platformed ‘regimes’ of visibility that prioritize the antagonist encounter in order to commodify them.
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Mapping Microplastics was a first exploratory workshop (part of the Entrepreneurship Program at HvA) with researchers and entrepreneurs to map how the public discourse on microplastics develops on Twitter.The preparation of this workshop followed a hybrid approach in three steps: preliminary mapping, joint interpretation and annotation, map redesign and feedback. The preliminary mapping was performed by designing a query to collect tweets around the topic of Microplastics. To perform the data collection and preliminary analysis we used TCAT (Twitter Capturing and Analysis Toolset), a tool developed by the Digital Methods Initiative at the University of Amsterdam. A set of four maps was designed to address different sub questions through different visual models: networks of hashtags and users, image grids organized by time and frequency, alluvial diagrams and lists of most interacted with tweets. These maps were used in a joint interpretative hybrid session: the visual material was printed and sent to each partner. With the facilitation of designers and researchers, entrepreneurs annotated the printed maps in parallel online sessions.
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Sowijs deed in opdracht van een gemeente onderzoek naar het huidige social mediagebruik van burgers en wijkpanels. Wat zijn de mogelijkheden voor het gebruik van social media door wijkpanels om de maatschappelijke betrokkenheid te vergroten? Lees de antwoorden in deze whitepaper
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From the onset of the Corona crisis, a specific policy challenge was identified in the Netherlands: How to motivate young people to adhere to the behavioral measures, such as physical distancing? Young people have an important role to play in stopping the virus from spreading, but they may be more difficult to reach and less motivated and able to adhere to the guidelines than adults. Mid-March, Moniek Buijzen was invited to consult the behavioral unit of the Dutch national health institute (RIVM) on communication and behavioral change among youth. She immediately called together the Dutch Young Consumer Network, which consists of scholars with expertise in communication directed at children and adolescents. Over the months, our network has been approached by policymakers, campaign developers, and journalists and engaged in a wide variety of advice activities. Even though the crisis is not over yet, we would like to share the collaborative approach that we took to harness our expertise and, most importantly, the specific tool that we used to share it.
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