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# SMO Starter Workshop: Telegram | ||
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[Presentation](https://leibniz-hbi.github.io/telegram-workshop/01_fundamentals_of_network_science) | ||
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## Tag 1 | ||
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[Pablo Jost: "Mapping a Dark Space: Challenges in Sampling and Classifying Non-Institutionalized Actors on Telegram"](https://github.com/Leibniz-HBI/telegram-workshop/tree/main) | ||
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[Katarina Bader: "Zwischen Staatsskepsis und Verschwörungsmythen: Eine Figurationsanalyse zur kommunikativen Konstruktion von Gegenöffentlichkeiten auf Telegram"](https://github.com/Leibniz-HBI/telegram-workshop/tree/main) | ||
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[Tobias Schrimpf, Jan Dvorak: "Aus dem Channel, auf die Straße! Wie die Querdenken-Bewegung ihren Protest auf Telegram organisiert – eine quantitative Netzwerkanalyse"](https://github.com/Leibniz-HBI/telegram-workshop/tree/main) | ||
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[Pablo Jost: "Distribution and Reception of Conspiracy Theories and Mobilization Calls on Telegram: Combining Evidence from a Content Analysis and Survey During the Pandemic"](https://github.com/Leibniz-HBI/telegram-workshop/tree/main) | ||
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[Gideon Wetzel: "Die extrem rechte und verschwörungsideologische Telegram-Szene in Sachsen: Angebot und Nachfrage einer lokal eingebetteten Bewegung"](https://github.com/Leibniz-HBI/telegram-workshop/tree/main) | ||
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Es folgte eine abschließende Panel-Diskussion der Vortragenden. | ||
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## Tag 2 | ||
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[Datengewinnung / Introduction to Telegram](https://github.com/Leibniz-HBI/telegram-workshop/blob/main/notebooks/01-introduction.ipynb) | ||
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[Topic Modeling mit BERTopic](https://hub.binder.curvenote.dev/user/leibniz-hbi-tel-rkshop-bertopic-57wuclpa/lab/workspaces/auto-V) | ||
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[Netzwerkanalyse](https://github.com/Leibniz-HBI/telegram-workshop/blob/main/notebooks/02-build-network.ipynb) | ||
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(Test für Binder Badge) | ||
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[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/FlxVctr/Fundamentals-of-Online-Social-Network-Analysis/HEAD) | ||
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(Click to start a Jupyter Lab for the exercises) |