This study explores how journalists in highspeed newsrooms gather information, how gathering activities are temporally structured and how reliability manifests itself in information-gathering activities.
This is a report of the research done during the Summer School 2022 at the Digital Methods Initiative (UvA). The work and the report were developed in collaboration with the participants in the datasprint: Gabrielle Aguilar // Federica Bardelli // Laura Bruschi // Miranda García // Giulia Giorgi // Matthew Hanchard // Bakar Abdul-Rashid Jeduah // Natalie Kerby // Goran Kusić // Bruno Mattos // Samir van Oeijen Rodríguez // Alessandro Quets // Eivind Røssaak // Miazia Schueler // Zijing Xu // Xin Zhou // Chloe Sussan-Molson // Maud Borie // Alireza Hashemzadegan // Misha Velthuis. Abstract:Sea-level rise has long been one of the most locally tangible impacts of climate change, both now and in the future. Due to accelerating climate change, the annual rate of sea-level rise has almost tripled over the last century, and the mean sea level rise is expected to rise 0.3m-1.0m by 2100 (Duijndam et al., 2021). The IPCC states that risks include increased flooding, erosion, loss of ecosystems and permanent submergence (Oppenheimer et al., 2019). In the UK, there are fierce debates over whether to protect or surrender coastal homes threatened by sea-level rise (Fisher, 2022), while in the Netherlands the trust in its strong water management and engineering tradition has led to the so-called myth of the dry feet—the idea that sea-level rise in the Netherlands, a country that in part lies below sea-level, can be countered by merely building higher dams (Schuttenhelm, 2020). Scenarios for the future of the Netherlands include new adaptation strategies of living with the water, in which parts of the land are given back to nature to preserve larger cities (Deltares, 2019). Globally, some of the world’s most populous cities, such as New York, Bangkok and Shanghai are amongst the most vulnerable (C40 Cities, 2018), while the existential threats to small islands such as Kiribati, Seychelles and the Maldives could result in entire states disappearing from the world (Martyr-Koller et al., 2021). Emblematic images of people wading through the flooded streets of Venice holding up their shopping bags or stopping for a coffee travelled the news and social media outlets as an illustration of the climate crisis, and the collision of rising sea levels, a sinking city, surging seasonal winds and failing governance as the city experienced its worst floods in 50 years (National Geographic, 2019).There have been some notable efforts to visualise scientific projections of sea-level rise (e.g. Climate Central, 2015), as well as more creative attempts to communicate the threat such as the iconic Der Spiegel depicting a submerged Koln Cathedral (Mahony, 2016). Yet it is argued that sea-level rise remains a relatively low public concern given the huge potential risks to ecosystems and human habitats (Akerlof et al., 2017), while a recent advanced review of digital media research on climate communication found no research focused on the issue (Pearce et al., 2019). In this project, we will try to fill this gap, looking to see how both present and future sea-level rise is being imagined and interpreted on social media platforms, in terms of textual and visual content, information sources, locations, and point in time (i.e., future or present).
MULTIFILE
This study investigated temporal changes in movement strategy and performance during fatiguing short-cycle work. Eighteen participants performed six 7-min work blocks with repetitive reaching movements at 0.5 Hz, each followed by a 5.5-min rest break for a total duration of 1 h. Electromyography (EMG) was collected continuously from the upper trapezius muscle, the temporal movement strategy and timing errors were obtained on a cycle-to-cycle basis, and perceived fatigue was rated before and after each work block. Clear signs of fatigue according to subjective ratings and EMG manifestations developed within each work block, as well as during the entire hour. For most participants, timing errors gradually increased, as did the waiting time at the near target. Changes in temporal movement strategy were negatively correlated with changes in the level and variability of EMG, suggesting that an adaptive temporal strategy offset the development of unstable motor solutions in this fatiguing, short-cycle work.Practitioner Summary: Sustained performance of operators is essential to maintain competitiveness. In this study of repetitive work, participants gradually changed their temporal movement strategy, for possibly alleviating the effects of fatigue. This suggests that in order to effectively counteract fatigue and sustain performance, industrial production should allow extensive spatial and temporal flexibility.
Performance feedback is an important mechanism of adaptation in learning theories, as it provides one of the motivations for organizations to learn (Pettit, Crossan, and Vera 2017). Embedded in the behavioral theory of the firm, organizational learning from performance feedback predicts the probability for organizations to change with an emphasis on organizational aspirations, which serve as a threshold against which absolute performance is evaluated (Cyert and March 1963; Greve 2003). It postulates that performance becomes a ‘problem’, or the trigger to search for alternative procedures, strategies, products and behaviors, when performance is below that threshold. This search is known as problemistic search. Missing from this body of research, is empirically grounded understanding if the characteristics of performance feedback over time matter for the triggering function of the feedback. I explore this gap. This investigation adds temporality as a dimension of the performance feedback concept guided by a worldview of ongoing change and flux where conditions and choices are not given, but made relevant by actors and enacted upon (Tsoukas and Chia 2002). The general aim of the study is to complement the current knowledge of performance feedback as a trigger for problemistic search with an explicit process temporal approach. The main question guiding this project is how temporal patterns of performance feedback influence organizational change, which I answer in four chapters, each zooming into one sub-question.First, I focus on the temporal order of performance feedback by examining performance feedback and change sequences organizations go through. In this section time is under study and the goal is to explore how feedback patterns have evolved over time, just as the change states organizations pass through. Second, I focus on the plurality of performance feedback by investigating performance feedback from multiple aspiration levels (i.e. multiple qualitatively different metrics and multiple reference points) and how over time clusters of performance feedback sequences have evolved. Next, I look into the rate and scope of change relative to performance feedback sequences and add an element of signal strength to the feedback. In the last chapter, time is a predictor (in the sequences), and, it is under study (in the timing of responses). I focus on the timing of organizational responses in relation to performance feedback sequences of multiple metrics and reference points.In sum, all chapters are guided by the timing problem of performance feedback, meaning that performance feedback does not come ‘available’ at a single point in time. Similarly to stones with unequal weight dropped in the river, performance feedback with different strength comes available at multiple points in time and it is plausible that sometimes it is considered by decision-makers as problematic and sometimes it is not, because of the sequence it is part of. Overall, the investigation is grounded in the general principles of organizational learning from performance feedback, and the concept of time as duration, sequences and timing, with a focus on specification of when things happen. The context of the study is universities of applied sciences and hotels in The Netherlands. Project partner: Tilburg University, School of Social and Behavioral Sciences, Department of Organization Studies
