Opvallend bij de jongste stembusgang in de Verenigde Staten, voor tussentijdse verkiezingen, was de opkomst van hashtag #iVoted. Bekend en onbekend Amerika zette zichzelf op de foto met de sticker die je krijgt als je hebt gestemd. The Late Show riep kijkers op om hun stemfies in te sturen en maakte er een compilatievideo van. Hoe kan een ouderwetse sticker van het stembureau een social media trend worden?
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Een online onderzoek naar de effecten op online participatiegedrag van verschillende communicatiestrategieën en het gebruik van hashtags.
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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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Sociale media zijn in belangrijke mate een graadmeter van datgene wat Nederland bezig houdt. Organisaties willen graag deel uitmaken van de social talk op deze media. Dialoog met de doelgroep biedt kansen om te werken aan de merkwaarde en reputatie. Sowijs deed onderzoek naar kenmerkende patronen in trending topics op Twitter. Inzicht in die patronen kan organisatie helpen
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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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Marketingactiviteiten zijn over het algemeen gericht op het creëren van vraag en het stimuleren van consumptie. Dit lukt vrij aardig, maar leidt ook tot steeds grotere klimaatproblemen. Het zou dus mooi zijn als merken consumenten kunnen aanzetten tot minder consumeren. Kotler en Levy (1971) noemden dit demarketing. Maar hoe doe je dat dan als merk?
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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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Facebook, Instagram, Snapchat: de student van nu is de hele dag in de weer met zijn smartphone. Bij Sowijs vroegen we ons af: hoe ontwikkelt het social mediagebruik van studenten zich? Veranderen de motieven om social media te gebruiken? En veranderen de onderwerpen die ze posten?
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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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