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We explore the dynamics of user performance in collaborative knowledge production by studying the quality of answers to questions posted on Stack Exchange. We propose four indicators of answer quality: answer length, the number of code lines and hyperlinks to external web content it contains, and whether it is accepted by the asker as the most helpful answer to the question. Analyzing millions of answers posted over the period from 2008 to 2014, we uncover regular short-term and long-term changes in quality. In the short-term, quality deteriorates over the course of a single session, with each successive answer becoming shorter, with fewer code lines and links, and less likely to be accepted. In contrast, performance improves over the long-term, with more experienced users producing higher quality answers. These trends are not a consequence of data heterogeneity, but rather have a behavioral origin. Our findings highlight the complex interplay between short-term deterioration in performance, potentially due to mental fatigue or attention depletion, and long-term performance improvement due to learning and skill acquisition, and its impact on the quality of user-generated content.
We explore the dynamics of user performance in collaborative knowledge production by studying the quality of answers to questions posted on Stack Exchange. We propose four indicators of answer quality: answer length, the number of code lines and hyperlinks to external web content it contains, and whether it is accepted by the asker as the most helpful answer to the question. Analyzing millions of answers posted over the period from 2008 to 2014, we uncover regular short-term and long-term changes in quality. In the short-term, quality deteriorates over the course of a single session, with each successive answer becoming shorter, with fewer code lines and links, and less likely to be accepted. In contrast, performance improves over the long-term, with more experienced users producing higher quality answers. These trends are not a consequence of data heterogeneity, but rather have a behavioral origin. Our findings highlight the complex interplay between short-term deterioration in performance, potentially due to mental fatigue or attention depletion, and long-term performance improvement due to learning and skill acquisition, and its impact on the quality of user-generated content.
La crise de la COVID19 a entraîné au printemps 2020 un recours massif au télétravail. Mettant à distance leurs collaborateurs, les organisations ont dû repenser le travail dans des espaces exclusivement numériques où de nouvelles (in)visibilités ont brouillé les repères traditionnels et engendré de nouveaux comportements organisationnels. Cet article analyse l’expérience de la visibilité au travail durant la crise sous l’angle de la reconnaissance. Une étude de cas réalisée au sein d’une grande entreprise du secteur de l’assurance révèle que durant la crise, le télétravail a exacerbé et mis à l’épreuve le besoin de reconnaissance existentielle au travail. Elle montre par ailleurs, que la numérisation des espaces de travail peut conduire à la perception d’une invisibilisation des pratiques et de l’engagement du fait du déplacement du regard vers les flux et les résultats du travail. Ce phénomène contribue pour certains – et notamment les managers de proximité, à alimenter le sentiment d’un déni de reconnaissance là où d’autres sont parvenus au sortir de la crise, à tirer une reconnaissance nouvelle. Cette recherche sur l’expérience du télétravail en période de confinement apporte ainsi un nouvel éclairage sur ce qui pourrait se jouer en termes de visibilité sociale et de reconnaissance dans les nouvelles spatialisations du travail. Sur le plan managérial, les résultats sont de nature à alimenter la réflexion actuelle des entreprises sur le futur du travail et ses nouvelles spatialisations, ainsi que sur le rôle du manager, dont l’expérience de la visibilité durant la crise apparaît comme ambivalente.
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