Browsing by Author "Castillo, Carlos"

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  • Anagnostopoulos, Aris; Castillo, Carlos; Fazzone, Adriano; Leonardi, Stefano; Terzi, Evimaria (ACM Association for Computer Machinery, 2018)
    Although freelancing work has grown substantially in recent years, in part facilitated by a number of online labor marketplaces, traditional forms of “in-sourcing” work continue being the dominant form of employment. ...
  • Ofli, Ferda; Meier, Patrick; Imran, Muhammad; Castillo, Carlos; Tuia, Devis; Rey, Nicolas; Briant, Julien; Millet, Pauline; Reinhard, Friedrich; Parkan, Matthew; Joost, Stéphane (Mary Ann Liebert, Inc, 2016)
    Aerial imagery captured via unmanned aerial vehicles (UAVs) is playing an increasingly important role in disaster response. Unlike satellite imagery, aerial imagery can be captured and processed within hours rather than ...
  • Proskurnia, Julia; Mavlyutov, Ruslan; Castillo, Carlos; Aberer, Karl; Cudré-Mauroux, Philippe (ACM Association for Computer Machinery, 2017)
    Automatically extracting information from social media is challenging given that social content is often noisy, ambiguous, and inconsistent. However, as many stories break on social channels first before being picked ...
  • Zehlike, Meike; Bonchi, Francesco; Castillo, Carlos; Hajian, Sara; Megahed, Mohamed; Baeza-Yates, Ricardo (ACM Association for Computer Machinery, 2017)
    In this work, we define and solve the Fair Top-k Ranking problem, in which we want to determine a subset of k candidates from a large pool of n>>k candidates, maximizing utility (i.e., select the “best” candidates) subject ...
  • Proskurnia, Julia; Grabowicz, Przemyslaw; Kobayashi, Ryota; Castillo, Carlos; Cudré-Mauroux, Philippe; Aberer, Karl (ACM Association for Computer Machinery, 2017)
    Applying classical time-series analysis techniques to online content is challenging, as web data tends to have data quality issues and is often incomplete, noisy, or poorly aligned. In this paper, we tackle the problem of ...
  • Purohit, Hemant; Castillo, Carlos; Imran, Muhammad; Pandey, Rahul (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    xtensive research on social media usage during emergencies has shown its value to provide life-saving information, if a mechanism is in place to filter and prioritize messages. Existing ranking systems can provide a ...
  • Smeros, Panayiotis; Castillo, Carlos; Aberer, Karl (ACM Association for Computer Machinery, 2019)
    This paper describes, develops, and validates SciLens, a method to evaluate the quality of scientific news articles. The starting point for our work are structured methodologies that define a series of quality aspects for ...
  • Purohit, Hemant; Castillo, Carlos; Imran, Muhammad; Pandey, Rahul (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    The public expects a prompt response from emergency services to address requests for help posted on social media. However, the information overload of social media experienced by these organizations, coupled with their ...
  • Olteanu, Alexandra; Castillo, Carlos; Boy, Jeremy; Varshney, Kush (Association for the Advancement of Artificial Intelligence (AAAI), 2018)
    User-generated content online is shaped by many factors, including endogenous elements such as platform affordances and norms, as well as exogenous elements, in particular significant events. These impact what users ...
  • Imran, Muhammad; Mitra, Prasenjit; Castillo, Carlos (LREC, 2016)
    Microblogging platforms such as Twitter provide active communication channels during mass convergence and emergency events such as earthquakes, typhoons. During the sudden onset of a crisis situation, affected people post ...