FacTweet: Profiling Fake News Twitter Accounts

[EN] We present an approach to detect fake news in Twitter at the account level using a neural recurrent model and a variety of different semantic and stylistic features. Our method extracts a set of features from the timelines of news Twitter accounts by reading their posts as chunks, rather than dealing with each tweet independently. We show the experimental benefits of modeling latent stylistic signatures of mixed fake and real news with a sequential model over a wide range of strong baselinesThe work of Paolo Rosso was partially funded by the Spanish MICINN under the research project MISMIS-FAKEnHATE on Misinformation and Miscommunication in social media: FAKE news and HATE speech (PGC2018-096212-B-C31)Ghanem, BHH.; Ponzetto, SP.; Rosso, P. (2020). FacTweet: Profiling Fake News Twitter Accounts. Springer. 35-45. https://doi.org/10.1007/978-3-030-59430-5_3S3545Aker, A., Kevin, V., Bontcheva, K.: Credibility and transparency of news sources: data collection and feature analysis. arXiv (2019)Aker, A., Kevin, V., Bontcheva, K.: Predicting news source credibility. arXiv (2019)Badawy, A., Lerman, K., Ferrara, E.: Who falls for online political manipulation? In: Companion Proceedings of the 2019 World Wide Web Conference, pp. 162–168. ACM (2019)Baly, R., Karadzhov, G., Alexandrov, D., Glass, J., Nakov, P.: Predicting factuality of reporting and bias of news media sources. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 3528–3539 (2018)Baly, R., Karadzhov, G., Saleh, A., Glass, J., Nakov, P.: Multi-task ordinal regression for jointly predicting the trustworthiness and the leading political ideology of news media. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 2109–2116 (2019)Boyd, R.L., et al.: Characterizing the Internet Research Agency’s Social Media Operations During the 2016 US Presidential Election using Linguistic Analyses. PsyArXiv (2018)Choi, Y., Wiebe, J.: +/-EffectWordNet: sense-level lexicon acquisition for opinion inference. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1181–1191 (2014)Clark, E.M., Williams, J.R., Jones, C.A., Galbraith, R.A., Danforth, C.M., Dodds, P.S.: Sifting robotic from organic text: a natural language approach for detecting automation on Twitter. J. Comput. Sci. 16, 1–7 (2016)Davis, C.A., Varol, O., Ferrara, E., Flammini, A., Menczer, F.: BotOrNot: a system to evaluate social bots. In: Proceedings of the 25th International Conference Companion on World Wide Web, pp. 273–274. International World Wide Web Conferences Steering Committee (2016)Dhingra, B., Zhou, Z., Fitzpatrick, D., Muehl, M., Cohen, W.W.: Tweet2Vec: character-based distributed representations for social media. In: The 54th Annual Meeting of the Association for Computational Linguistics (ACL), p. 269 (2016)Dickerson, J.P., Kagan, V., Subrahmanian, V.: Using sentiment to detect bots on Twitter: are humans more opinionated than bots? In: 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014), pp. 620–627. IEEE (2014)Ghanem, B., Buscaldi, D., Rosso, P.: TexTrolls: identifying Russian trolls on Twitter from a textual perspective. arXiv preprint arXiv:1910.01340 (2019)Ghanem, B., Cignarella, A.T., Bosco, C., Rosso, P., Rangel, F.: UPV-28-UNITO at SemEval-2019 Task 7: exploiting post’s nesting and syntax information for rumor stance classification. 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Accessibility and tangible interaction in distributed workspaces based on multi-touch surfaces

[EN] Traditional interaction mechanisms in distributed digital spaces often fail to consider the intrinsic properties of action, perception, and communication among workgroups, which may affect access to the common resources used to mutually organize information. By developing suitable spatial geometries and natural interaction mechanisms, distributed spaces can become blended where the physical and virtual boundaries of local and remote spaces merge together to provide the illusion of a single unified space. In this paper, we discuss the importance of blended interaction in distributed spaces and the particular challenges faced when designing accessible technology. We illustrate this discussion through a new tangible interaction mechanism for collaborative spaces based on tabletop system technology implemented with optical frames. Our tangible elements facilitate the exchange of digital information in distributed collaborative settings by providing a physical manifestation of common digital operations. The tangibles are designed as passive elements that do not require the use of any additional hardware or external power while maintaining a high degree of accuracy.This work was supported by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund, through the ANNOTA Project (Ref. TIN2013-46036-C3-1-R).Salvador-Herranz, G.; Camba, J.; Contero, M.; Naya Sanchis, F. (2018). Accessibility and tangible interaction in distributed workspaces based on multi-touch surfaces. Universal Access in the Information Society. 17(2):247-256. https://doi.org/10.1007/s10209-017-0563-7S247256172Arkin, E.M., Chew, L.P., Huttenlocher, D.P., Kedem, K., Mitchell, J.S.B.: An efficiently computable metric for comparing polygonal shapes. IEEE Trans. Acoust. Speech Signal Process. 13(3), 209–216 (1991)Benyon, D.: Presence in blended spaces. Interact. Comput. 24(4), 219–226 (2012)Bhalla, M.R., Bhalla, A.V.: Comparative study of various touchscreen technologies. Int. J. Comput. Appl. 6(8), 12–18 (2010)Bradski, G., Kaehler, A.: Learning OpenCV: Computer Vision with the OpenCV Library. O’Reilly Media Inc., Newton (2008)Candela, E.S., Pérez, M.O., Romero, C.M., López, D.C.P., Herranz, G.S., Contero, M., Raya, M.A.: Humantop: a multi-object tracking tabletop. Multimed. Tools Appl. 70(3), 1837–1868 (2014)Cohen, J., Withgott, M., Piernot, P.: Logjam: a tangible multi-person interface for video logging. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 128–135. ACM (1999)Couture, N., Rivière, G., Reuter, P.: Geotui: a tangible user interface for geoscience. In: Proceedings of the 2nd International Conference on Tangible and Embedded Interaction, pp. 89–96. 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In: International Conference on Entertainment Computing, pp. 440–443. Springer (2011)Müller, D.: Mixed reality systems. iJOE 5(S2), 10–11 (2009)Newton-Dunn, H., Nakano, H., Gibson, J.: Block jam: a tangible interface for interactive music. In: Proceedings of the 2003 Conference on New Interfaces for Musical Expression, pp. 170–177. National University of Singapore (2003)Patten, J., Recht, B., Ishii, H.: Audiopad: a tag-based interface for musical performance. In: Proceedings of the 2002 Conference on New Interfaces for Musical Expression, pp. 1–6. National University of Singapore (2002)Patten, J., Recht, B., Ishii, H.: Interaction techniques for musical performance with tabletop tangible interfaces. In: Proceedings of the 2006 ACM SIGCHI International Conference on Advances in Computer Entertainment Technology, p. 27. ACM (2006)PQLabs: Inc. http://multitouch.com/ . Retrieved on 16 October 2016Ryokai, K., Marti, S., Ishii, H.: I/o brush: drawing with everyday objects as ink. 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A review of mobile robots: Concepts, methods, theoretical framework, and applications

[EN] Humanoid robots, unmanned rovers, entertainment pets, drones, and so on are great examples of mobile robots. They can be distinguished from other robots by their ability to move autonomously, with enough intelligence to react and make decisions based on the perception they receive from the environment. Mobile robots must have some source of input data, some way of decoding that input, and a way of taking actions (including its own motion) to respond to a changing world. The need to sense and adapt to an unknown environment requires a powerful cognition system. Nowadays, there are mobile robots that can walk, run, jump, and so on like their biological counterparts. Several fields of robotics have arisen, such as wheeled mobile robots, legged robots, flying robots, robot vision, artificial intelligence, and so on, which involve different technological areas such as mechanics, electronics, and computer science. In this article, the world of mobile robots is explored including the new trends. These new trends are led by artificial intelligence, autonomous driving, network communication, cooperative work, nanorobotics, friendly human-robot interfaces, safe human-robot interaction, and emotion expression and perception. Furthermore, these news trends are applied to different fields such as medicine, health care, sports, ergonomics, industry, distribution of goods, and service robotics. These tendencies will keep going their evolution in the coming years.The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Spanish Ministry of Economy and Competitiveness, which has funded the DPI2013-44227-R project.Rubio Montoya, FJ.; Valero Chuliá, FJ.; Llopis Albert, C. (2019). A review of mobile robots: Concepts, methods, theoretical framework, and applications. 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Myoelectric forearm prostheses: State of the art from a user-centered perspective

User acceptance of myoelectric forearm prostheses is currently low. Awkward control, lack of feedback, and difficult training are cited as primary reasons. Recently, researchers have focused on exploiting the new possibilities offered by advancements in prosthetic technology. Alternatively, researchers could focus on prosthesis acceptance by developing functional requirements based on activities users are likely to perform. In this article, we describe the process of determining such requirements and then the application of these requirements to evaluating the state of the art in myoelectric forearm prosthesis research. As part of a needs assessment, a workshop was organized involving clinicians (representing end users), academics, and engineers. The resulting needs included an increased number of functions, lower reaction and execution times, and intuitiveness of both control and feedback systems. Reviewing the state of the art of research in the main prosthetic subsystems (electromyographic [EMG] sensing, control, and feedback) showed that modern research prototypes only partly fulfill the requirements. We found that focus should be on validating EMG-sensing results with patients, improving simultaneous control of wrist movements and grasps, deriving optimal parameters for force and position feedback, and taking into account the psychophysical aspects of feedback, such as intensity perception and spatial acuity