2020 was the year activists mastered hashtag flooding


Nicole Gallucci at Mashable: “A lone hashtag might not look very mighty, but when used en masse, the symbols can become incredibly powerful activism tools.

Over the past two decades — largely since product designer Chris Messina pitched hashtags to Twitter in 2007 — activists have learned to harness the symbols to form online communities, raise awareness on pressing issues, organize protests, shape digital narratives, and redirect social media discourse. 

On any given day, a series of hashtags are spotlighted in “Trending” section of Twitter. The hashtags featured are those that have gained traction online and reflect topics being heavily discussed in the moment. More often than not, a trending hashtag’s popularity is organic, but a hashtag’s origin and initial purpose can become clouded when people partake in a clever tactic called hashtag flooding.

Hashtag flooding, or the act of hijacking a hashtag on social media platforms to change its meaning, has been around for years. But in 2020, particularly in the months leading up to the presidential election, activists and social media users looking to make their voices heard used the technique to drown out hateful narratives.

From K-pop fans flooding Donald Trump-related hashtags to members of the gay community putting their own spin on the #ProudBoys hashtag, the method of online communication dominated timelines this year and should be in every activist’s playbook….(More)”.

Beyond ‘Direct Democracy’: Popular Vote Processes in Democratic Systems


Introduction to Special Issue of the Journal of Representative Democracy by Alice el-Wakil & Spencer McKay: “Despite controversy over recent referendums and initiatives, populists and social movements continue to call for the use of these popular vote processes. Most political and academic debates about whether these calls should be answered have adopted a dominant framework that focuses on whether we should favour ‘direct’ or ‘representative’ democracy. However, this framework obscures more urgent questions about whether, when, and how popular vote processes should be implemented in democratic systems. How do popular vote processes interact with representative institutions? And how could these interactions be democratized? The contributions in this special issue address these and related questions by replacing the framework of ‘direct democracy’ with systemic approaches. The normative contributions illustrate how these approaches enable the development of counternarratives about the value of popular vote processes and clarify the nature of the underlying ideals they should realize. The empirical contributions examine recent cases with a variety of methodological tools, demonstrating that systemic approaches attentive to context can generate new insights about the use of popular vote processes. This introduction puts these contributions into conversation to illustrate how a shift in approach establishes a basis for (re-)evaluating existing practices and guiding reforms so that referendums and initiatives foster democracy….(More)”.

Co-creation applied to public policy: a case study on collaborative policies for the platform economy in the city of Barcelona


Paper by Mayo Fuster Morell & Enric Senabre Hidalgo: “This paper addresses how far co-creation methodologies can be applied to policy-making innovation in the platform economy. The driving question is how co-creation collaboration-based policy-making can increase diversity and strengthen the participation of actors. The analysis is based on a three-year case study on the platform economy in Barcelona, describing how co-creation dynamics contributed to the participatory definition of local public policies and agenda. The methodology is based on participatory design techniques, involving participant observation and content analysis. Results indicate that co-creation can increase participation diversity aligning academic, economic, and social viewpoints in policy innovation from a quadruple helix perspective. In addition, collaboration schemes assist in engaging a wide diversity of participants in the policy ideation process which, in this case, resulted in 87 new policy measures, with contributions from more than 300 people of different backgrounds and perspectives. The case study demonstrates the value of a cycle of collaboration going beyond mere symbolic engagement or citizen support to public policy-making. It further shows the importance of combining co-creation with methods of action research, strategic planning and knowledge management, as well as with face-to-face interactions and online channels….(More)”.

What we think we know and what we want to know: perspectives on trust in news in a changing world


Report by the Reuters Institute for the Study of Journalism: “…Trust in news has eroded worldwide. According to the Reuters Institute’s Digital News Report 2020, fewer than four in ten people (38%) across 40 markets say they typically trust most news (Newman et al. 2020). While trust has fallen by double digit margins in recent years in many places, including Brazil and the United Kingdom (Fletcher 2020), in other countries more stable overall trends conceal stark and growing partisan divides (see, for example, Jurkowitz et al. 2020).

Why is trust eroding, how does it play out across different contexts and different groups, what are the implications, and what might be done about it? These are the organising questions behind the Trust in News Project. This report is the first of many we will publish from the project over the next three years. Because trust is a relationship between trustors and trustees, we anticipate focusing primarily on audiences and the way they think about trust, but we begin the project by taking stock of how those who study journalism and those who practice it think about the subject. We want to be informed by their experiences and for our research to engage with how professional journalists and the news media approach trust so that it can be more useful in their work. Combining an extensive review of existing research on trust in news (including nearly 200 interdisciplinary publications) and original interviews on the subject (including 82 with journalists and other practitioners across several countries), we summarise some of what is known and unknown about trust, what is contributing to these trends, and how media organisations are seeking to address them in increasingly competitive digital environments.

Trust is not an abstract concern but part of the social foundations of journalism as a profession, news as an institution, and the media as a business. It is both important and dangerous, both for the public and for the news media – important for the public because being able to trust news helps people navigate and engage with the world, but dangerous because not everything is equally trustworthy; and important for the news media because the profession relies on it, but dangerous because it can be elusive and hard to regain when lost.

So if ‘trust is the new currency for success’, as the World Association of News Media has stated (Tjaardstra 2017), then how is it earned and what can this currency buy? For those who want to regain or retain it, it is not enough to do things that merely look good or feel good. Those things actually have to work or they risk making no difference, or worse, being counter-productive. Even when they do work, many of the choices involved in seeking to increase trust in accurate and reliable news may come with trade-offs. Our aim in the project is to gather actionable evidence to help journalists and news media make informed decisions about how best to address concerns around eroding trust….(More)”.

Mapping urban temperature using crowd-sensing data and machine learning


Paper by Marius Zumwald, Benedikt Knüsel, David N.Bresch and Reto Knutti: :”Understanding the patterns of urban temperature a high spatial and temporal resolution is of large importance for urban heat adaptation and mitigation. Machine learning offers promising tools for high-resolution modeling of urban heat, but it requires large amounts of data. Measurements from official weather stations are too sparse but could be complemented by crowd-sensed measurements from citizen weather stations (CWS). Here we present an approach to model urban temperature using the quantile regression forest algorithm and CWS, open government and remote sensing data. The analysis is based on data from 691 sensors in the city of Zurich (Switzerland) during a heat wave using data from for 25-30th June 2019. We trained the model using hourly data from for 25-29th June (n = 71,837) and evaluate the model using data from June 30th (n = 14,105). Based on the model, spatiotemporal temperature maps of 10 × 10 m resolution were produced. We demonstrate that our approach can accurately map urban heat at high spatial and temporal resolution without additional measurement infrastructure. We furthermore critically discuss and spatially map estimated prediction and extrapolation uncertainty. Our approach is able to inform highly localized urban policy and decision-making….(More)”.

Crowdsourcing Crime Control


Paper by Wayne A. Logan: “Crowdsourcing, which leverages the collective expertise and resources of (mainly online) communities to achieve specified objectives, today figures prominently in a broad array of realms, including business, human rights, and medical and scientific research. It also now plays a significant role in governmental crime control efforts. Web and forensic–genetic sleuths, armchair detectives, and the like are collecting and analyzing evidence and identifying criminal suspects, at the behest of and with varying degrees of assistance from police officials.

Unfortunately, as with so many other aspects of modern society, current criminal procedure doctrine is ill-equipped to address this development. In particular, for decades it has been accepted that the Fourth Amendment only limits searches and seizures undertaken by public law enforcement, not private actors. Crowdsourcing, however, presents considerable taxonomic difficulty for existing doctrine, making the already often permeable line between public and private behavior considerably more so. Moreover, although crowdsourcing promises considerable benefit as an investigative force multiplier for police, it poses risks, including misidentification of suspects, violation of privacy, a diminution of governmental transparency and democratic accountability, and the fostering of a mutual social suspicion that is inimical to civil society.

Despite its importance, government use of crowdsourcing to achieve crime control goals has not yet been examined by legal scholars. Like the internet on which it predominantly relies, crowdsourcing is not going away; if anything, it will proliferate in coming years. The challenge lies in harnessing its potential, while protecting against the significant harms that will accrue should it go unregulated. This Essay describes the phenomenon and provides a framework for its regulation, in the hope of ensuring that the wisdom of the crowd does not become the tyranny of the crowd….(More)”.

Wikipedia @ 20


Stories of an Incomplete Revolution edited by Joseph Reagle and Jackie Koerner (Open Access): “We have been looking things up in Wikipedia for twenty years. What began almost by accident—a wiki attached to a nascent online encyclopedia—has become the world’s most popular reference work. Regarded at first as the scholarly equivalent of a Big Mac, Wikipedia is now known for its reliable sourcing and as a bastion of (mostly) reasoned interaction. How has Wikipedia, built on a model of radical collaboration, remained true to its original mission of “free access to the sum of all human knowledge” when other tech phenomena have devolved into advertising platforms? In this book, scholars, activists, and volunteers reflect on Wikipedia’s first twenty years, revealing connections across disciplines and borders, languages and data, the professional and personal.

The contributors consider Wikipedia’s history, the richness of the connections that underpin it, and its founding vision. Their essays look at, among other things, the shift from bewilderment to respect in press coverage of Wikipedia; Wikipedia as “the most important laboratory for social scientific and computing research in history”; and the acknowledgment that “free access” includes not just access to the material but freedom to contribute—that the summation of all human knowledge is biased by who documents it….(More)”

The Global Assembly


About: “A global citizens’ assembly to accelerate action to address the climate and ecological emergency and influence COP26 in ways that citizens see fit.

The global assembly will involve both:

  • core group of people broken down by gender, race, age, economic background (and other criteria if appropriate) chosen by lottery, to be a true representation of the world population (1,000 people); and
  • distributed events that mirror the core group, and will be run by anyone anywhere e.g. communities, schools, organisations (100,000+ people).

The GA has three primary objectives:

  • Support a group of globally representative citizens make recommendations to COP26 and get an official response from the UN’s COP26 process (i.e. the core assembly)
  • Support a global conversation to amplify the core assembly process (i.e. distributed events)
  • Support large numbers of people and organisations globally to take action on the climate emergency.

Culminating in a ‘Moment for Change’ when the eyes of the world are on the citizens’ plans and a wave of enthusiasm is generated which makes those plans happen….(More)”.

Silicon Valley’s next goal is 3D maps of the world — made by us


Tim Bradshaw at the Financial Times: “When technology transformed the camera, the shift from film to digital sensors was just the beginning. As standalone cameras were absorbed into our phones, they gained software smarts, enabling them not only to capture light but also to understand the contents of a photo and even recognise people in it.

A similar transformation is now starting to happen to maps — and it too is powered by those advances in camera technology. In the next 20 years, our collective understanding of a “map” will be unrecognisable from the familiar grid of roads and places that has endured even as the A-Z street atlas has been supplanted by Google Maps.

Before long, countless objects and places will be captured and recreated in 3D digital models that we can view through our phones or even, at some stage, on headsets. This digital world might be populated by our avatars, turned into a playing field for new kinds of games or used to discover routes, buildings and services around us. 

Nobody seems sure yet what the killer app for this “digital twin” of Planet Earth might be, but that hasn’t stopped Silicon Valley from racing to build it anyway. Facebook, Apple, Google and Microsoft, as well as the developers of Snapchat and Pokémon Go, are all hoping to bring this “mirrorworld” to life, as a precursor to the augmented-reality (AR) glasses that many in tech see as the next big thing.

To place virtual objects in our world, our devices need to know the textures and contours of their surroundings, which GPS cannot see. But instead of sending out cars with protruding cameras to scan the world, as Google did to build Street View over the past decade and a half, these maps will be plotted by hundreds of millions of users like you and me. The question is whether we even realise that we have been dragooned into Silicon Valley’s army of cartographers. They cannot do it without us.

This month, Google said it would ask Maps users to upload photos to Street View using their smartphones for the first time. Only handsets running its AR software can contribute.  As Michael Abrash, chief scientist at Facebook’s Oculus headset unit, recently told Fast Company magazine: “Crowdsourcing has to be the primary way that this works. There is no other way to scale.”…(More)”.

Impact through Engagement: Co-production of administrative data research


Paper by Elizabeth Nelson and Frances Burns: “The Administrative Data Research Centre Northern Ireland (ADRC NI) is a research partnership between Queen’s University Belfast and Ulster University to facilitate access to linked administrative data for research purposes for public benefit and for evidence-based policy development. This requires a social licence extended by publics which is maintained by a robust approach to engagement and involvement.

Public engagement is central to the ADRC NI’s approach to research. Research impact is pursued and secured through robust engagement and co-production of research with publics and key stakeholders. This is done by focusing on data subjects (the cohort of people whose lives make up the datasets, placing value on experts by experience outside of academic knowledge, and working with public(s) as key data advocates, through project steering committees and targeted events with stakeholders. The work is led by a dedicated Public Engagement, Communications and Impact Manager.

While there are strengths and weaknesses to the ADRC NI approach, examples of successful partnerships and clear pathways to impact demonstrate its utility and ability to amplify the positive impact of administrative data research. Working with publics as data use becomes more ubiquitous in a post-COVID-19 world will become more critical. ADRC NI’s model is a potential way forward….(More)”.

See also Special Issue on Public Involvement and Engagement by the International Journal of Population Data Science.