Crowdsourcing and Ethics

Harris, Constance M.; Srinivasan, Padmini

doi:10.1007/978-1-4614-4139-7_5

Cited by 7 publications

(2 citation statements)

References 11 publications

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“…Through the use of these OCs, companies can gain access to a very large and sometimes rare range of skills and expertise. They get activities completed with quality, within a shorter timeframe and often at lower cost than if performed in-house (Harris and Srinivasan, 2013).…”

Section: Using Crowdsourcing Servicesmentioning

confidence: 99%

Oportunidades para la cocreación de contenidos en los diarios nativos digitales

García

Bran

2020

EPI

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The participation of readers in the creation of information products increases the value of the media and the satisfaction of co-creators. Such involvement of the public especially affects productive processes, although without ignoring their participation in development and marketing, and implies a democratization of information, personalized experiences, and diverse points of view that favor informative pluralism. In this research we analyze an international sample of five digital native newspapers to verify the extent to which they allow their audiences to co-create content. We use an exploratory methodology to verify the existence of spaces designed for co-creation and prepare evaluation scales for the level of utility of these sites and examine their accessibility from the perspective of citizen empowerment, openness of content, and web architecture. The results show that the degree of implementation achieved by newspapers is lower than may be expected for purely digital media and provide a warning about the need to devise new formulas for co-creation and involve audiences more in generating content, while also indicating the need to review in depth the role of readers as sources. The limitations on citizen empowerment that derive from the absence of advertising in business models restrict open access, while web hierarchies hamper collaboration. The need for citizens to clearly identify which products have been produced by journalists versus co-creators is also diagnosed. Resumen La participación de los usuarios en la creación de productos informativos aumenta el valor de los medios de comunicación e incrementa la satisfacción de los cocreadores. La involucración de los lectores afecta en especial a los procesos productivos, aunque sin desmerecer la implicación en el desarrollo y en el marketing, e implica democratización de la información, experiencias personalizadas y puntos de vista diversos que favorecen el pluralismo informativo. En esta investigación se analiza una muestra internacional compuesta por cinco diarios nativos digitales para comprobar en qué medida permiten a sus públicos cocrear contenidos. Se utiliza una metodología exploratoria para comprobar la existencia de espacios concebidos para la cocreación. Se confeccionan unas escalas de evaluación del grado de utilidad de la idoneidad de esos sitios y se examina su accesibilidad desde la perspectiva del empoderamiento ciudadano, la apertura de contenidos y la arquitectura web. Los resultados demuestran que los grados de implantación alcanzados por los diarios son más bajos de lo que pudiera esperarse de medios puramente digitales y alertan sobre la necesidad de idear nuevas fórmulas de cocreación e implicar más a las audiencias en la generación de contenidos, al tiempo que se hace necesario revisar con profundidad cuál es su papel como fuentes. Las limitaciones al empoderamiento ciudadano derivadas de la ausencia de publicidad en los modelos de negocio restringen los accesos en abierto y las jerarquías web obstaculizan las colaboraciones. Se diagnostica, asimismo, la necesidad de que los ciudadanos puedan identificar con claridad qué productos han sido elaborados por periodistas y cuáles por cocreadores.

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Section: Using Crowdsourcing Servicesmentioning

confidence: 99%

Oportunidades para la cocreación de contenidos en los diarios nativos digitales

García

Bran

2020

EPI

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“…Crowdsourcing can be a highly efficient way to label data, but it has also been questioned in terms of ethical aspects [1]. Such concerns touch upon whether the crowd workers are potentially exploited [13], or "ethical norms of privacy" could be violated-potentially even knowingly by the crowd workers [20]. In addition, unreliable raters can be a severe problem adding noise to the labels [53].…”

Section: Game's On!: Making Crowdsourcing Fun: Seriouslymentioning

confidence: 99%

Three recent trends in Paralinguistics on the way to omniscient machine intelligence

Schuller

Zhang

Weninger

2018

J Multimodal User Interfaces

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A 2 year-old has approximately heard a 1000 h of speech-at the age of ten, around ten thousand. Similarly, automatic speech recognisers are often trained on data in these dimensions. In stark contrast, however, only few databases to train a speaker analysis system contain more than 10 h of speech and hardly ever more than 100 h. Yet, these systems are ideally expected to recognise the states and traits of speakers independent of the person, spoken content, language, cultural background, and acoustic disturbances best at human parity or even superhuman levels. While this is not reached at the time for many tasks such as speaker emotion recognition, deep learning-often described to lead to significant improvements-in combination with sufficient learning data, holds the promise to reach this goal. Luckily, every second, more than 5 h of video are uploaded to the web and several hundreds of hours of audio and video communication in most languages of the world take place. A major effort could thus be invested in efficient labelling and sharing of these. In this contribution, first, benchmarks are given from the nine research challenges co-organised by the authors over the years at the annual Interspeech conference since 2009. Then, approaches to utmost efficient exploitation of the 'big' (unlabelled) data available are presented. Smallworld modelling in combination with unsupervised learning help to rapidly identify potential target data of interest. Further, gamified crowdsourcing combined with human-machine cooperative learning turns the annotation process into an entertaining experience, while reducing the manual labelling effort to a minimum. Moreover, increasingly autonomous deep holistic endto-end learning solutions are presented for the tasks at hand. The concluding discussion will contain some crystal ball gazing alongside practical hints not missing out on ethical aspects.

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