Semantic Search Pipeline: From Query Expansion to Concept Forging

Soper, Elizabeth; Hosier, Jordan; Bales, Dustin; Gurbani, Vijay K.

doi:10.1109/icde51399.2021.00242

Cited by 1 publication

(1 citation statement)

References 11 publications

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“…We take two approaches to determine the appropriate threshold for considering two paragraphs to be about the same topic. First, we take 250 random paragraph pairs with similarities at various thresholds (i.e., for 0.60, messages/paragraphs with similarities between 0.59 and 0.61) and have an expert determine whether they are about the same topic as outlined in Hanley, Kumar, and Durumeric (2023b); Soper et al (2021). We perform this evaluation in monolingual settings for English and Russian (the two most prominent languages in our dataset) and a multilingual setting with English and Russian.…”

Section: Comparing Semantic Contentmentioning

confidence: 99%

Partial Mobilization: Tracking Multilingual Information Flows amongst Russian Media Outlets and Telegram

Hanley,

Durumeric

2024

ICWSM

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In response to disinformation and propaganda from Russian online media following the invasion of Ukraine, Russian media outlets such as Russia Today and Sputnik News were banned throughout Europe. To maintain viewership, many of these Russian outlets began to heavily promote their content on messaging services like Telegram. In this work, we study how 16 Russian media outlets interacted with and utilized 732 Telegram channels throughout 2022. Leveraging the foundational model MPNet, DP-Means clustering, and Hawkes processes, we trace how narratives spread between news sites and Telegram channels. We show that news outlets not only propagate existing narratives through Telegram but that they source material from the messaging platform. For example, across the websites in our study, between 2.3% (ura.news) and 26.7% (ukraina.ru) of articles discussed content that originated/resulted from activity on Telegram. Finally, tracking the spread of individual topics, we measure the rate at which news outlets and Telegram channels disseminate content within the Russian media ecosystem, finding that websites like ura.news and Telegram channels such as @genshab are the most effective at disseminating their content.

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Section: Comparing Semantic Contentmentioning

confidence: 99%