Confiar en la audiencia para que contribuya con datos, una práctica llamada crowdsourcing, es uno de los procedimientos del periodismo de datos contemporáneo. Si bien las investigaciones anteriores ...han adoptado la idea de crowdsourcing como una forma transparente de involucrar a la audiencia, esta práctica periodística todavía es limitada. El caso español es particularmente esclarecedor de la brecha entre las expectativas teóricas y la realidad. Aunque los medios de comunicación digitales españoles se destacan por su compromiso con la exploración de las posibilidades interactivas, y su audiencia es especialmente propensa a comentar noticias, este estudio cualitativo presenta evidencias de que los periodistas de datos en España siguen siendo bastante reacios a adoptar el crowdsourcing como un método de investigación. Basado en entrevistas semiestructuradas con cinco periodistas de datos, este artículo explica las motivaciones detrás de esta renuencia, así como los desafíos de la activación de la audiencia.
Monstre intensifieur en français Corminboeuf, Gilles; Avanzi, Mathieu
SHS Web of Conferences,
2020, Letnik:
78
Journal Article, Conference Proceeding
Recenzirano
Odprti dostop
Le but de cet article est de présenter les résultats d’une recherche relative à l’usage de monstre antéposé à un lexème qu’il modifie (
il fait monstre chaud
). Dans un premier temps, nous montrons ...comment les données récoltées dans le cadre d’un projet faisant appel aux sciences participatives nous permettent de localiser avec précision la forme en Suisse romande et dans quelques localités de France voisine. Dans un second temps, nous exploitons le corpus OFROM et les données récoltées dans d’autres sources pour cerner les contraintes distributionnelles qui pèsent sur l’utilisation de ce morphème en français. Nous terminons sur les propriétés sémantiques qui invitent à décrire monstre comme un morphème intensifieur.
The aim of this paper is to present the results of a research dealing with the word
monstre
(“monster”), placed before a lexical unit or a phrase that it modifies (as in
il fait monstre chaud, “it is very hot”
). First, we use crowdsourced data to draw with precision the boundaries of the area where this singular use of monstre is attested, i.e. in French-speaking Switzerland and in some neighboring localities of France. Next, thanks to the data extracted from the OFROM database and from other resources, we examine the distributional properties of monstre in French. Third, we describe the semantic properties of the intensificator monstre.
Crowdsourcing: A Roundtable Discussion DeFranco, Joanna F.; Kshetri, Nir; Thiruvathukal, George K. ...
Computer (Long Beach, Calif.),
2024-Aug., 2024-8-00, Letnik:
57, Številka:
8
Journal Article
Recenzirano
This report presents insights from interviews with four experts on the challenges and advantages of implementing crowdsourcing strategies in academic research and other areas. Questions on privacy ...protection, deepfaking, and other topics were addressed.
Growth and value creation have become the dominant preoccupations for today's managers/companies. That is why they have increasingly embraced crowdsourcing and co-creation as business practices, ...especially online. If most of them aim to increase their performance with the help of these practices, there have been cases where they have been approached in critical moments, when various businesses have found themselves on the verge of collapse, as is the case with Legos. If crowdsourcing is about getting the services, ideas or content needed, by asking for contributions from a large group of people and especially from an online community rather than from traditional employees or suppliers, co-creation is considered to be the strongest business strategy, at the moment, to involve consumers in co-creating products, services, and experiences with a unique value for both parties. In this paper, architectural design crowdsourcing will be presented as an alternative method to the acquisition of traditional design, which can overcome the potential deficiencies, faced by this sector of the creative industries, and may bring smaller projects in the field of architectural practices.
Under de 50 år jag kan överblicka har statsvetenskaplig idéanalys utvecklats enormt. Idag, år 2018, är området oerhört mycket rikare på ansatser och infallsvinklar och genomförda studier än ...det var omkring 1965. Den teoretiska utvecklingen har varit dramatisk, den metodiska anmärkningsvärd. I mitten av 1960-talet ansågs idéstudiet moget för historiens skräphög, nu har det hamnat i universums mitt. Men det har skett under en mångfald av beteckningar. På grund av denna teoretiska och metodiska utveckling och den nya rikedomen på infallsvinklar behöver området dryftas, utvecklas och genomlysas.
Un fenomen ce ar trebui să dea de gândit celor ce se încrâncenează în a susţine că progresul tehnologic este apanajul strict al castei „profesioniştilor" este cel de crowdsourcing, pentru care avem ...un proverb ce acoperă toate denotaţiile şi conotaţiile cuvântului din limba engleză: „gura lumii nu e pungă să se strângă". Totuşi, în spaţiul virtual aceste diferenţe sunt minime, iar ceea ce se întâmplă acum în Statele Unite se va întâmpla cu siguranţă şi la noi; este doar o chestiune de timp. Cartea se încheie, curajos am spune, cu un decalog al crowdsourcing-ului, reguli ce fac o interesantă legătură cu „Armele matematice ..." anterioare: (1) alege modelul de colaborare potrivit - de fapt, stabilirea scopului atrage după sine şi modelul participativ (de proiectare, de produs, de dialog, strategie publicitară), (2) alege mulţimea potrivită, (3) oferă stimulente adecvate, (4) nu renunţa la angajaţi, (5) prostia mulţimii sau principiul dictatorului binevoitor (dictatorul perfect a fost, în acest caz, Linus Torvalds, graţie căruia avem alternativa Linux), (6) nu complica lucrurile şi ia-o încet, (7) aminteşte-ţi de legea lui Sturgeon (90% din orice e prost şi doar 10% e de calitate), (8) nu uita de cei 10%, corolarul legii lui Sturgeon,(9) comunitatea are totdeauna dreptate, (10) nu întreba ce poate face mulţimea pentru tine, întreabă-te ce poţi să faci tu pentru ea.
Challenges in Data Crowdsourcing Garcia-Molina, Hector; Joglekar, Manas; Marcus, Adam ...
IEEE transactions on knowledge and data engineering,
2016-April-1, 2016-4-1, 20160401, Letnik:
28, Številka:
4
Journal Article
Recenzirano
Crowdsourcing refers to solving large problems by involving human workers that solve component sub-problems or tasks. In data crowdsourcing, the problem involves data acquisition, management, and ...analysis. In this paper, we provide an overview of data crowdsourcing, giving examples of problems that the authors have tackled, and presenting the key design steps involved in implementing a crowdsourced solution. We also discuss some of the open challenges that remain to be solved.
The use of IT-enabled crowdsourcing with employees in enterprises has increased substantially in recent years. This phenomenon, which we refer to as ‘internal crowdsourcing’, is distinct both from ...external crowdsourcing with end users and from hierarchy-based work with employees. A literature stream has emerged that corresponds with the increased relevance of internal crowdsourcing in practice. The purpose of this review paper of internal crowdsourcing is to provide conceptual development, synthesise the literature, and provide a research agenda. In the review reported in this paper, we systematically analysed and critically reviewed the literature in this domain published thus far (74 papers). We found useful findings and insights into a new and relevant IT-enabled phenomenon. At the same time, we also found conflicting definitions and conceptualisation, as well as research efforts that are not well integrated. The paper supports future research on internal crowdsourcing by providing improved conceptualisation, consolidating insights, and identifying important areas for future research.
Data quality is one of the major concerns of using crowdsourcing websites such as Amazon Mechanical Turk (MTurk) to recruit participants for online behavioral studies. We compared two methods for ...ensuring data quality on MTurk: attention check questions (ACQs) and restricting participation to MTurk workers with high reputation (above 95% approval ratings). In Experiment
1
, we found that high-reputation workers rarely failed ACQs and provided higher-quality data than did low-reputation workers; ACQs improved data quality only for low-reputation workers, and only in some cases. Experiment
2
corroborated these findings and also showed that more productive high-reputation workers produce the highest-quality data. We concluded that sampling high-reputation workers can ensure high-quality data without having to resort to using ACQs, which may lead to selection bias if participants who fail ACQs are excluded post-hoc.
PDF
