@misc{ReelfsHohlfeldStrohmaieretal., author = {Reelfs, Jens Helge and Hohlfeld, Oliver and Strohmaier, Markus and Henckell, Niklas}, title = {Word-Emoji embeddings from large scale messaging data reflect real world semantic associations of expressive icons}, series = {Conference: ICWSM Workshop on Emoji Understanding and Applications in Social Media 2020}, journal = {Conference: ICWSM Workshop on Emoji Understanding and Applications in Social Media 2020}, pages = {10}, abstract = {We train word-emoji embeddings on large scale messagingdata obtained from the Jodel online social network. Our dataset contains more than 40 million sentences, of which 11 million sentences are annotated with a subset of the Unicode13.0 standard Emoji list. We explore semantic emoji associations contained in this embedding by analyzing associations between emojis, between emojis and text, and betweentext and emojis. Our investigations demonstrate anecdotallythat word-emoji embeddings trained on large scale messaging data can reflect real-world semantic associations. To enable further research we release the Jodel Emoji EmbeddingDataset (JEED1488) containing 1488 emojis and their embeddings along 300 dimensions.}, language = {en} } @misc{ReelfsHohlfeldStrohmaieretal., author = {Reelfs, Jens Helge and Hohlfeld, Oliver and Strohmaier, Markus and Henckell, Niklas}, title = {Characterizing the country-wide adoption and evolution of the Jodel messaging app in Saudi Arabia}, series = {arXiv}, journal = {arXiv}, doi = {10.48550/arXiv.2205.04544}, pages = {14}, abstract = {Social media is subject to constant growth and evolution, yet little is known about their early phases of adoption. To shed light on this aspect, this paper empirically characterizes the initial and country-wide adoption of a new type of social media in Saudi Arabia that happened in 2017. Unlike established social media, the studied network Jodel is anonymous and location-based to form hundreds of independent communities country-wide whose adoption pattern we compare. We take a detailed and full view from the operators perspective on the temporal and geographical dimension on the evolution of these different communities—from their very first the first months of establishment to saturation. This way, we make the early adoption of a new type of social media visible, a process that is often invisible due to the lack of data covering the first days of a new network.}, language = {en} }