Zobrazeno 1 - 10
of 147
pro vyhledávání: '"Bos, Maarten"'
Autor:
Calabrese, Agostina, Neves, Leonardo, Shah, Neil, Bos, Maarten W., Ross, Björn, Lapata, Mirella, Barbieri, Francesco
Content moderators play a key role in keeping the conversation on social media healthy. While the high volume of content they need to judge represents a bottleneck to the moderation pipeline, no studies have explored how models could support them to
Externí odkaz:
http://arxiv.org/abs/2406.04106
Autor:
Zhou, Zhihan, Fang, Qixiang, Neves, Leonardo, Barbieri, Francesco, Liu, Yozen, Liu, Han, Bos, Maarten W., Dotsch, Ron
User embeddings play a crucial role in user engagement forecasting and personalized services. Recent advances in sequence modeling have sparked interest in learning user embeddings from behavioral data. Yet behavior-based user embedding learning face
Externí odkaz:
http://arxiv.org/abs/2403.13344
Autor:
Fang, Qixiang, Zhou, Zhihan, Barbieri, Francesco, Liu, Yozen, Neves, Leonardo, Nguyen, Dong, Oberski, Daniel L., Bos, Maarten W., Dotsch, Ron
Learning general-purpose user representations based on user behavioral logs is an increasingly popular user modeling approach. It benefits from easily available, privacy-friendly yet expressive data, and does not require extensive re-tuning of the up
Externí odkaz:
http://arxiv.org/abs/2312.12111
Autor:
Peters, Heinrich, Liu, Yozen, Barbieri, Francesco, Baten, Raiyan Abdul, Matz, Sandra C., Bos, Maarten W.
The success of online social platforms hinges on their ability to predict and understand user behavior at scale. Here, we present data suggesting that context-aware modeling approaches may offer a holistic yet lightweight and potentially privacy-pres
Externí odkaz:
http://arxiv.org/abs/2310.14533
Culture shapes people's behavior, both online and offline. Surprisingly, there is sparse research on how cultural context affects network formation and content consumption on social media. We analyzed the friendship networks and dyadic relations betw
Externí odkaz:
http://arxiv.org/abs/2301.13801
Autor:
Jiang, Julie, Dotsch, Ron, Roura, Mireia Triguero, Liu, Yozen, Silva, Vítor, Bos, Maarten W., Barbieri, Francesco
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Pictorial emojis and stickers are commonly used in online social networking to facilitate and aid communications. We delve into the use of Bitmoji stickers, a highly expressive form of pictorial communication using avatars resembling actual users. We
Externí odkaz:
http://arxiv.org/abs/2211.01426
Autor:
Pei, Jiaxin, Silva, Vítor, Bos, Maarten, Liu, Yozon, Neves, Leonardo, Jurgens, David, Barbieri, Francesco
We propose MINT, a new Multilingual INTimacy analysis dataset covering 13,372 tweets in 10 languages including English, French, Spanish, Italian, Portuguese, Korean, Dutch, Chinese, Hindi, and Arabic. We benchmarked a list of popular multilingual pre
Externí odkaz:
http://arxiv.org/abs/2210.01108
Autor:
Mack, Kelly, Bragg, Danielle, Morris, Meredith Ringel, Bos, Maarten W., Albi, Isabelle, Monroy-Hernández, Andrés
Social media platforms support the sharing of written text, video, and audio. All of these formats may be inaccessible to people who are deaf or hard of hearing (DHH), particularly those who primarily communicate via sign language, people who we call
Externí odkaz:
http://arxiv.org/abs/2008.05691
Camera glasses enable people to capture point-of-view videos using a common accessory, hands-free. In this paper, we investigate how, when, and why people used one such product: Spectacles. We conducted 39 semi-structured interviews and surveys with
Externí odkaz:
http://arxiv.org/abs/1902.09749
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.