1,720,997 research outputs found
The earnest platform : U.S. presidential candidates, COVID-19, and social issues on Instagram
Full text linkIncreasingly, Instagram is discussed as a site for misinformation, inauthentic activities, and polarization, particularly in recent studies about elections, the COVID-19 pandemic and vaccines. In this study, we have found a different platform. By looking at the content that receives the most interactions over two time periods (in 2020) related to three U.S. presidential candidates and the issues of COVID-19, healthcare, 5G and gun control, we characterize Instagram as a site of earnest (as opposed to ambivalent) political campaigning and moral support, with a relative absence of polarizing content (particularly from influencers) and little to no misinformation and artificial amplification practices. Most importantly, while misinformation and polarization might be spreading on the platform, they do not receive much user interaction
Diseña 19 | Visual Methods for Online Images: Collection, Circulation, and Machine Co-Creation Intro
Full text linkIn an image-saturated society, methods for visual analysis gain urgency. This special issue explores visual ways to study online images, focusing on their collection and circulation. The proposition we make is to stay as close to the material as possible. How to approach the visual with the visual? What type of images may one design to make sense of, reshape, and reanimate online image collections? How may arrangements of online images promote various analytical procedures, participatory actions, and design interventions? Furthermore, we focus on the role that algorithmic tools, including machine vision, can play in such research efforts while being sensitive to their flaws and shortcomings. Which kinds of collaborations between humans and machines can we envision to better grasp and critically interrogate the dynamics of today’s digital visual culture? The different practices and formats discussed in this special issue (including data feminism, visual scores, machine vision, image networks, field guides) offer a range of approaches that seek to understand, reanimate, and change perspectives on our digital visual culture
Visual Methodologies for Networked Images: Designing Visualizations for Collaborative Research, Cross-platform Analysis, and Public Participation
Full text linkIn this paper we present visual methodologies attuned to the networked nature of digital images. First, we describe approaches to image research in which images are not separated from their network, but rather studied 'en groupe'. Here, we contrast approaches that treat images as data, and those that regard images as content. Second, we focus on the production of images for digital research, presenting three of their functions: a) the creation of diagrams that facilitate collaboration in interdisciplinary research teams; b) the use of visualizations for cross-platform image analysis; and c) designing images for public participation. Most importantly, such visualizations are not used to form the esthetic culmination of analytical work, but are rather functional tools for digital research that serve parts of the entire research process, from its formulation and operationalization to the engagement of a broader public
Street-level City Analytics: Mapping the Amsterdam Knowledge Mile
Full text linkThis paper presents digital methods for city analytics, applied to the mapping and activation of an urban area in the city of Amsterdam called the Knowledge Mile. Firstly, we map companies registered in the area and analyse their connections through on-line hyperlinking. Secondly, we use Instagram, Panoramio and Google Search data to map most- shared photos and high-ranked images of the area. Lastly, we use Foursquare data to map most-shared locations. The produced maps visualize the online presence and resonance of an urban area that is an axis cutting through the city center and crossing many district and neighborhood ‘borders’. The maps have been used as navigational tools and conversation pieces during workshops and participatory design sessions with local stakeholders
Feminist Data Practices: Conversations with Catherine D’Ignazio, Lauren Klein, and Maya Livio
Full text linkMany of the papers and more-than-textual proposals submitted for this special issue included machine vision technologies and other data- and AI- mediated practices. To provide a critical perspective on data-driven (design) research, we decided to explore the emerging field of data feminism through online interviews with three scholars and practitioners who apply intersectional feminist theory and practice to the realm of data-driven work: Catherine D’Ignazio, Lauren Klein, and Maya Livio.
With Catherine D’Ignazio and Lauren Klein, authors of the book Data Feminism (2020), we touch upon the idea of data feminism as a way of thinking about (and acting upon) data and data science, informed by intersectional feminist thinking. From examining and challenging power structures in the data collection process to embracing pluralism beyond binaries and hierarchies, they outline a research program that clarifies why and how data science needs intersectional feminism. With them, we discuss how art and (speculative) design practices can make power imbalances visible. We also discuss the limitations and advantages of participatory data practices and the responsibility that lies upon data collectors when making visible an issue through data can cause more harm than good to those affected by it. We discuss how sometimes one needs to reject ground rules of data visualization to pursue higher political goals beyond simple analytical needs. We conclude this conversation with an invitation to embrace complexity when applying feminist principles to data work, while being aware of our personal standpoints and limitations.
With Maya Livio, researcher and curator at the University of Colorado Boulder, we discuss how an intersectional feminist approach to data science can also consider more-than-human beings. We talk about her work on animal interfaces, in which she explores how the contact points between the human and more-than-human worlds are permeated with technology. Maya Livio then takes us through her experiences in feminist labs, explaining how the first step of incorporating a feminist practice is to take stock of and codify the work being done, cultivating attention towards (often unspoken or unwritten) methods and practices. We also discuss how she and her colleagues developed a framework for operationalizing the art of noticing as a methodological contribution. Finally, we touch upon her personal research approach, characterized by a mix of experimental multidisciplinary practices, moving from writing to curating to design and art-making.Muchos de los artículos y las propuestas más-que-textuales que se presentaron para este número especial incluían tecnologías de visión artificial y otras prácticas mediadas por datos e inteligencia artificial (IA). Con el propósito de ofrecer una perspectiva crítica sobre la investigación (de diseño) basada en datos, decidimos explorar el campo emergente del feminismo de datos a través de entrevistas en línea con tres académicas y profesionales que aplican la teoría y la práctica feminista interseccional al trabajo basado en datos: Catherine DʼIgnazio, Lauren Klein y Maya Livio.
Con Catherine DʼIgnazio y Lauren Klein, autoras del libro Data Feminism (2020), abordamos la idea del feminismo de datos como una manera de pensar (y actuar) sobre los datos y la ciencia de datos, la que se caracteriza por estar informada por el pensamiento feminista interseccional. Desde la necesidad de examinar y desafiar las estructuras de poder en el proceso de recopilación de datos hasta la necesidad de abrazar el pluralismo más allá del pensamiento binario y las jerarquías, DʼIgnazio y Klein esbozan un programa de investigación que aclara por qué y cómo la ciencia de datos necesita el feminismo interseccional. Con ellas discutimos cómo el arte y las prácticas de diseño (especulativo) pueden hacer visibles los desequilibrios de poder. También discutimos las limitaciones y ventajas de las prácticas participativas de datos y la responsabilidad que recae sobre quienes recolectan datos cuando usar datos para hacer visible un tema puede causar más daño que beneficios a los afectados. Discutimos cómo, a veces, es necesario rechazar las reglas básicas de la visualización de datos para alcanzar objetivos políticos más elevados que las simples necesidades analíticas. Concluimos esta conversación con una invitación a abrazar la complejidad al momento de aplicar los principios feministas al trabajo con datos, siendo conscientes de nuestros puntos de vista y limitaciones personales.
Con Maya Livio, investigadora y curadora de la Universidad de Colorado Boulder, hablamos de la manera en que un enfoque feminista interseccional de la ciencia de datos puede tener en cuenta también a los seres más-que-humanos. Conversamos sobre su trabajo con interfaces animales, en el que explora cómo los puntos de contacto entre los mundos humano y más-que-humano están impregnados de tecnología. A continuación, Maya Livio nos lleva a sus experiencias en los laboratorios feministas, para explicarnos que el primer paso para incorporar una práctica feminista es hacer un balance o inventario y codificar el trabajo que se está realizando, cultivando asimismo la atención hacia los métodos y las prácticas (a menudo tácitos o no escritos). También discutimos cómo ella y sus colegas desarrollaron un marco para operacionalizar el “arte de notar” como una contribución metodológica. Por último, nos referimos a su enfoque personal de investigación, caracterizado por una mezcla de prácticas multidisciplinares experimentales, que van desde la escritura hasta la curatoría, pasando por el diseño y la creación artística
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
The Politics of Social Media Manipulation
Full text linkDisinformation and so-called fake news are contemporary phenomena with rich histories. Disinformation, or the willful introduction of false information for the purposes of causing harm, recalls infamous foreign interference operations in national media systems. Outcries over fake news, or dubious stories with the trappings of news, have coincided with the introduction of new media technologies that disrupt the publication, distribution and consumption of news -- from the so-called rumour-mongering broadsheets centuries ago to the blogosphere recently. Designating a news organization as fake, or der Lügenpresse, has a darker history, associated with authoritarian regimes or populist bombast diminishing the reputation of 'elite media' and the value of inconvenient truths. In a series of empirical studies, using digital methods and data journalism, the authors inquire into the extent to which social media have enabled the penetration of foreign disinformation operations, the widespread publication and spread of dubious content as well as extreme commentators with considerable followings attacking mainstream media as fake
The Politics of Social Media Manipulation
Full text linkDisinformation and so-called fake news are contemporary phenomena with rich histories. Disinformation, or the willful introduction of false information for the purposes of causing harm, recalls infamous foreign interference operations in national media systems. Outcries over fake news, or dubious stories with the trappings of news, have coincided with the introduction of new media technologies that disrupt the publication, distribution and consumption of news -- from the so-called rumour-mongering broadsheets centuries ago to the blogosphere recently. Designating a news organization as fake, or der Lügenpresse, has a darker history, associated with authoritarian regimes or populist bombast diminishing the reputation of 'elite media' and the value of inconvenient truths. In a series of empirical studies, using digital methods and data journalism, the authors inquire into the extent to which social media have enabled the penetration of foreign disinformation operations, the widespread publication and spread of dubious content as well as extreme commentators with considerable followings attacking mainstream media as fake
On gig flix : a stereoscopic view on the multi-camera filming of live music in 'U23D' (2008) and its fan movie counterparts on the internet
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