Social networks and news outlets use recommender systems to distribute information and suggest news to their users. These algorithms are an attractive solution to deal with the massive amount of content on the web [6]. However, some organisations prioritise retention and maximisation of the number of access, which can be incompatible with values like the diversity of content and transparency. In recent years critics have warned of the dangers of algorithmic curation. The term filter bubbles, coined by the internet activist Eli Pariser [1], describes the outcome of pre-selected personalisation, where users are trapped in a bubble of similar contents. Pariser warns that it is not the user but the algorithm that curates and selects interesting topics to watch or read. Still, there is disagreement about the consequences for individuals and society. Research on the existence of filter bubbles is inconclusive. Fletcher in [5], claims that the term filter bubbles is an oversimplification of a much more complex system involving cognitive processes and social and technological interactions. And most of the empirical studies indicate that algorithmic recommendations have not locked large segments of the audience into bubbles [3] [6]. We built an agent-based simulation tool to study the dynamic and complex interplay between individual choices and social and technological interaction. The model includes different recommendation algorithms and a range of cognitive filters that can simulate different social network dynamics. The cognitive filters are based on the triple-filter bubble model [2]. The tool can be used to understand under which circumstances algorithmic filtering and social network dynamics affect users' innate opinions and which interventions on recommender systems can mitigate adverse side effects like the presence of filter bubbles. The resulting tool is an open-source interactive web interface, allowing the simulation with different parameters such as users' characteristics, social networks and recommender system settings (see Fig. 1). The ABM model, implemented in Python Mesa [4], allows users to visualise, compare and analyse the consequence of combining various factors. Experiment results are similar to the ones published in the Triple Filter Bubble paper [2]. The novelty is the option to use a real collaborative-filter recommendation system and a new metric to measure the distance between users' innate and final opinions. We observed that slight modifications in the recommendation system, exposing items within the boundaries of users' latitude of acceptance, could increase content diversity.References 1. Pariser, E.: The filter bubble: What the internet is hiding from you. Penguin, New York, NY (2011) 2. Geschke, D., Lorenz, J., Holtz, P.: The triple-filter bubble: Using agent-based modelling to test a meta-theoretical framework for the emergence of filter bubbles and echo chambers. British Journal of Social Psychology (2019), 58, 129–149 3. Möller, J., Trilling, D., Helberger, N. , and van Es, B.: Do Not Blame It on the Algorithm: An Empirical Assessment of Multiple Recommender Systems and Their Impact on Content Diversity. Information, Communication and Society 21, no. 7 (2018): 959–77 4. Mesa: Agent-based modeling in Python, https://mesa.readthedocs.io/. Last accessed 2 Sep 2022 5. Fletcher, R.: The truth behind filter bubbles: Bursting some myths. Digital News Report - Reuters Institute (2020). https://reutersinstitute.politics.ox.ac.uk/news/truth-behind-filter-bubblesbursting-some-myths. Last accessed 2 Sep 2022 6. Haim, M., Graefe, A, Brosius, H: Burst of the Filter Bubble?: Effects of Personalization on the Diversity of Google News. Digital Journalism 6, no. 3 (2018): 330–43.
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Social networks and news outlets entrust content curation to specialised algorithms from the broad family of recommender systems. Companies attempt to increase engagement by connecting users with ideas they are more likely to agree with. Eli Pariser, the author of the term filter bubble, suggested that it might come as a price of narrowing users' outlook. Although empirical studies on algorithmic recommendation showed no reduction in diversity, these algorithms are still a source of concern due to the increased societal polarisation of opinions. Diversity has been widely discussed in the literature, but little attention has been paid to the dynamics of user opinions when influenced by algorithmic curation and social network interaction.This paper describes our empirical research using an Agent-based modelling (ABM) approach to simulate users' emergent behaviour and track their opinions when getting news from news outlets and social networks. We address under which circumstances algorithmic filtering and social network dynamics affect users' innate opinions and which interventions can mitigate the effect.The simulation confirmed that an environment curated by a recommender system did not reduce diversity. The same outcome was observed in a simple social network with items shared among users. However, opinions were less susceptible to change: The difference between users' current and innate opinions was lower than in an environment with users randomly selecting items. Finally, we propose a modification to the collaborative filtering algorithm by selecting items in the boundary of users' latitude of acceptance, increasing the chances to challenge users' opinions.
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Algorithmic curation is a helpful solution for the massive amount of content on the web. The term is used to describe how platforms automate the recommendation of content to users. News outlets, social networks and search engines widely use recommendation systems. Such automation has led to worries about selective exposure and its side effects. Echo chambers occur when we are over-exposed to the news we like or agree with, distorting our perception of reality (1). Filter bubbles arise where the information we dislike or disagree with is automatically filtered out – narrowing what we know (2). While the idea of Filter Bubbles makes logical sense, the magnitude of the "filter bubble effect", reducing diversity, has been questioned [3]. Most empirical studies indicate that algorithmic recommendations have not locked large audience segments into bubbles [4]. However, little attention has been paid to the interplay between technological, social, and cognitive filters. We proposed an Agent-based Modelling to simulate users' emergent behaviour and track their opinions when getting news from news outlets and social networks. The model aims to understand under which circumstances algorithmic filtering and social network dynamics affect users' innate opinions and which interventions can mitigate the effect. Agent-based models simulate the behaviour of multiple individual agents forming a larger society. The behaviour of the individual agents can be elementary, yet the population's behaviour can be much more than the sum of its parts. We have designed different scenarios to analyse the contributing factors to the emergence of filter bubbles. It includes different recommendation algorithms and social network dynamics. Cognitive filters are based on the Triple Filter Bubble model [5].References1.Richard Fletcher, 20202.Eli Pariser, 20123.Chitra & Musco, 20204. Möller et al., 20185. Daniel Geschke et al, 2018
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This paper discusses the positioning of higher education in the information or so-called network society. As part of a broader PhD research into media literacy and the success of students in higher education, this theoretical disquisition submits links between information problem-solving skills (IPS-skills), students’ success, social media and the position of student’s assignments and higher education in society. First, I'll explain by using pedagogical theories, that when researching students’ success in higher education in contemporary society, it is important to know why and how students use social media. Secondly, the necessity of IPS-skills is discussed along with the challenges and difficulties. Not only the skills of searching for reliable and useful information are addressed but also the construction of the Internet and the way a part of the Internet works, is discussed, in particular the filter bubble. Thirdly, with the use of the network theory, the role of social media (in the present case: Facebook) in higher education is analysed. Ultimately, this paper complements the pedagogical theory on students’ success in contemporary society. Furthermore, distinguishing education as a distinctive field within the network society will tighten the network theory.
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Over de stad – nu, vroeger en morgen – wordt veel gezegd en geschreven. Initiatieven, rapporten en projecten buitelen over elkaar heen. We moeten smart, duurzaam, creatief, weerbaar, flexibel en vitaal. Om dit spervuur van feiten en meningen te kunnen verwerken en plaatsen, moeten we soms even afstand nemen.Ontwikkelingen vanuit een bredere blik bekijken, of een andere hoek. Niet bang zijn om vragen te stellen, in plaats van antwoorden te geven. De filosofie leent zich hier bij uitstek voor. Vanuit Agenda Stad zijn daarom vijf vooraanstaande auteurs gevraagd om een filosofisch essay over de ontwikkeling van onze steden. Wat vonden Socrates, Descartes en Nietsche van de stad? Welk effect heeft de filter bubble op ons stedelijkgedrag? Wat is Serenopolis en hoe komen we daar? Waarom is kunst onontbeerlijk om onze steden identiteit te geven?
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At this critical moment in time, April 2020, when we are living with the cataclysmic event of Covid-19, television – a medium declared almost dead at the beginning of this millennium – has become a vital resource for solace, daydreaming, social ritual, knowledge and storytelling. In conditions of lockdown, we turn towards television, not away from it (Ellis, 2020; Negra, 2020). We are checking news on national channels, and tuning to live broadcasting for campaigns to help the health services and communities in need, such as with the globally broadcast One World: Together At Home special. We are curling up on the sofa to engage with gripping drama, like Ozark streaming on Netflix, re-watching favourite series from the beginning, such as Buffy or Breaking Bad, and taking part in television quiz shows like Pointless, even watching repeats, to recreate a pub quiz atmosphere in the living room. On a darker note, we are also overloaded with corona news; the ritual evening news bulletin can be a source of anxiety and a cause of sleeplessness. Television infrastructure can break down, from broken satellite dishes to lost remote controls, which are tricky to fix when technicians are not so readily available to help; and television can be an economic burden. The cost of streaming Breaking Bad can push the limits of monthly contracts and data packages. Television both lightens and darkens the mood of domestic spaces and social relations in lockdown culture.
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Introducing a hyperbolic vortex into a showerhead is a possibility to achieve higher spray velocities for a given discharge without reducing the nozzle diameter. Due to the introduction of air bubbles into the water by the vortex, the spray is pushed from a transition (dripping faucet) regime into a jetting regime, which results in higher droplet and jet velocities using the same nozzle diameter and throughput. The same droplet and jet diameters were realized compared to a showerhead without a vortex. Assuming that the satisfaction of a shower experience is largely dependent on the droplet size and velocity, the implementation of a vortex in the showerhead could provide the same shower experience with 14% less water consumption compared to the normal showerhead. A full optical and physical analysis was presented, and the important chemical parameters were investigated.
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It is a well-known fact that a good preparation in the pre-departure stage can maximize the chances of a succesful foreign experience. But what is meant by a good preparation? And what are the expected results of such a preparation? This course focuses in internship and study abroad (pre-departure) preparation. Its aim is to prepare you for the personal, professional and academic challenges of living and working abroad. The course will address awareness and purpose in the acquisition of attitude, knowledge and skills related to international competencies.
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the role of higher education in fostering young professionals’ global competence
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In Intellectual Output 1 of the SMILES project, researchers from Belgium (Flanders), Netherlands and Spain conducted desk research to describe the current developments for each country around disinformation, particularly those related to the Covid-19 pandemic. In part 2 of the research, they identified training initiatives, courses and media literacy training tools for each country that are specifically focused on the combat against or promotion of resistance to existing disinformation. Each identified activity or tool was characterised by a fixed set of characteristics (appendix 1). In the second stage of this research, some experts for each country were interviewed. Among other things, they were asked for recommendations and tips for interventions that will be developed in Intellectual Output 2 of the SMILES project. All research results were reported in separate country reports. This joint report lists the highlights of the separate country reports. It will end with recommendations for the interventions to be developed in Intellectual Output 2.
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