Paper by Lisa Schmidthuber, Dennis Hilgers, and Krithika Randhawa: “Government organizations increasingly use crowdsourcing platforms to interact with citizens and integrate their requests in designing and delivering public services. Government usually provides feedback to individual users on whether the request can be considered. Drawing on attribution theory, this study asks how the causal attributions of the government response affect continued participation in crowdsourcing platforms. To test our hypotheses, we use a 7-year dataset of both online requests from citizens to government and government responses to citizen requests. We focus on citizen requests that are denied by government, and find that stable and uncontrollable attributions of the government response have a negative effect on future participation behavior. Also, a local government’s locus of causality negatively affects continued participation. This study contributes to research on the role of responsiveness in digital interaction between citizens and government and highlights the importance of rationale transparency to sustain citizen participation…(More)”.
Paper by Saima Qutab, Michael David Myers and Lesley Gardner: “For some years information systems researchers have looked at crowdsourcing as a way for individuals, organizations and institutions to co-create content and generate value. Although there are many potential benefits of crowdsourcing, the quality control of crowd contributions stands out as one of the most significant challenges. Crowds can create the information contents but at the same time can facilitate information disorder: misinformation, disinformation and mal-information.
Crowd created information is a dominant element in what is sometimes called the post-truth era. A small piece of misleading information can constitute significant challenges to the information sharing group or society. This misinformation can reshape in various ways how information-driven communities make sense of their world. As information disorder and its effects have recently started to be recognised as a potential problem in IS research, we need to explore this phenomenon in more detail, to understand how it happens and why. This multiple case study is aimed at appraising information disorder through crowd-created contents in the knowledge and cultural heritage organisations such as Galleries, Libraries, Archives and Museums (GLAM). We intend to investigate the quality control mechanisms that might be used to prevent and minimise the effects of information disorder from crowdsourced contributions….(More)”.
About: “Afyanet is a voluntary, non-profit network of National Health Institutes and Research Centers seeking to leverage crowdsourced health data for disease surveillance and forecasting. Participation in AfyaNet for countries is free.
We aim to use technology and digital solutions to radically enhance how traditional disease surveillance systems function and the ways we can model epidemics.
Our vision is to create a common framework to collect standardized real-time data from the general population, allowing countries to leapfrog existing hurdles in disease surveillance and information sharing.
Our solution is an Early Warning System for Health based on participatory data gathering. A common, real-time framework for disease collection will help countries identify and forecast outbreaks faster and more effectively.
Crowdsourced data is gathered directly from citizens, then aggregated, anonymized, and processed in a cloud-based data lake. Our high-performance computing architecture analyzes the data and creates valuable disease spread models, which in turn provide alerts and notifications to participating countries and helps public health authorities make evidence-based decisions….(More)”
OpenGov: “The Environmental Protection Agency and the U.S. Forest Service (USFS) have released updates to the AirNow Fire and Smoke Map to help protect communities from the effects of wildfire smoke. Started as a pilot project last year, the map pulls data from three sources: temporary monitors such as those the Forest Service and other agencies have deployed near fires; crowdsourced data from nearly 10,000 low-cost sensors nationwide that measure fine particle pollution, the major harmful pollutant in smoke; and monitors that regularly report to AirNow, EPA’s one-stop source for air quality data.
The agencies announced improvements to the map, including a dashboard that gives users quick access to information that can help them plan their outdoor activities, the current Air Quality Index (AQI) category at the monitor or sensor location, data showing whether air quality is improving or worsening, and information about actions to consider taking based on the AQI.
EPA and USFS developed the map-pilot to provide information on fire locations, smoke plumes and air quality in one place. It had more than 7.4 million views in its first three months. The map imports data from almost 10,000 sensors from an air quality sensor network that crowdsources data on particle pollution, providing real-time measurement of air quality on a public map. This was a logical addition to two other projects already underway.
The extra data points the sensors provided proved useful in characterising air quality during the 2020 fire season, and we had positive reception from state, local and tribal air agency partners, and from the public. The map is intended for individuals to use in making decisions about outdoor activities based on air quality, but the unique fire, smoke and concentration data can help increase awareness of the significant impacts of wildfires across all levels of government — federal, state, local and tribal — and provide a valuable tool to assist agencies as they work to protect public health from wildfire smoke during these emergencies….(More)”.
Shen Lu at Protocol: Severe floods caused by torrential rains in Central China’s Henan province have killed dozens and displaced tens of thousands of residents since last weekend. In parallel with local and central governments’ disaster relief and rescue efforts, Chinese web users have organized online, using technology in novel ways to mitigate risks and rescue those who were trapped in subway cars and neighborhoods submerged in floodwaters.
Chinese web users are no strangers to digital crowdsourcing efforts. During the COVID-19 outbreak, volunteers archived censored media reports and personal stories of suffering from disease or injustice that were scattered on social media, saving them on sharable files on GitHub and broadcasting them via Telegram. Despite pervasive censorship, in times of crisis, Chinese web users have managed to keep information and communications channels open among themselves, and with the rest of the world.
Now, people in one of the most oppressive information environments in the world might be helping write the future playbook for disaster response…
In hard-hit Zhengzhou, the capital city of Henan province, tens of thousands of residents crowdsourced relief assistance over the past 48 hours through a simple shared spreadsheet powered by the Tencent equivalent of Google Sheets (Google products are banned in China). It was created by a college student to allow those awaiting rescue to log their contact and location information.
In the 36 hours that followed, droves of volunteers have logged on, vastly expanding the breadth of information that lives on the document. It now includes contact information for official and unofficial rescue teams, relief resources, shelter locations, phone-charging stations and online medical consultations. At certain points, over 200 people have edited the sheet simultaneously.
Tencent reported that by Wednesday evening Beijing time, volunteers had entered nearly 1,000 data points. The document has received over 2.5 million visits, becoming the most visited Tencent Doc ever and one of the most efficient and powerful rescue and aid platforms started and contributed by civilians.
Similar crowdsourced documents for flooding victims live elsewhere on the internet. On Shimo Docs, a cloud-based productivity suite developed by the Beijing-based startup Shimo, volunteers have aggregated relief and rescue resources’ contacts by cities and counties. These shared documents have made the rounds on social media platforms like Weibo and WeChat in the past few days….(More)”.
Article at the Mayor.eu: “From Saturday 10 July, cyclists in Helsinki will be able to earn money doing what they love whilst simultaneously helping the municipality repair damaged streets. This was announced on 28 June when the City of Helsinki shared that all residents are invited to take part in a game to map out 300 kilometres of cycling paths in the capital.
In a press release, the City of Helsinki reports that anyone can participate as long as they have a bicycle and a smartphone. To take part, one must simply download the free application Crowdchupa and attach their phone to their bicycle. The device will then record footage of the streets and Artificial Intelligence will be used to identify damage that must be repaired.
To make this even more interesting, the Crowdchupa application will allow participants to earn money. The application features a map which depicts various objects (such as coins and berries) on the streets. Cyclists must drive over these virtual objects to collect them and earn money….(More)”.
Press Release: “Americans have always disagreed about politics, but now levels of anti-democratic attitudes, support for partisan violence, and partisan animosity have reached concerning levels. While there are many ideas for tackling these problems, they have never been gathered, tested, and evaluated in a unified effort. To address this gap, the Stanford Polarization and Social Change Lab is launching a major new initiative. The Strengthening Democracy Challenge will collect and rigorously test up to 25 interventions to reduce anti-democratic attitudes, support for partisan violence, and partisan animosity in one massive online experiment with up to 30,000 participants. Interventions can be contributed by academics, practitioners, or others with interest in strengthening democratic principles in the US. The researchers who organize the challenge — a multidisciplinary team with members at Stanford, MIT, Northwestern, and Columbia Universities — believe that crowdsourcing ideas, combined with the rigor of large-scale experimentation, can help address issues as substantial and complex as these….
Researchers with diverse backgrounds and perspectives are invited to submit interventions. The proposed interventions must be short, doable in an online form, and follow the ethical guidelines of the challenge. Academic and practitioner experts will rate the submissions and an editorial board will narrow down the 25 best submissions to be tested, taking novelty and expected success of the ideas into account. Co-organizers of the challenge include James Druckman, Payson S. Wild Professor of Political Science at Northwestern University; David Rand, the Erwin H. Schell Professor and Professor of Management Science and Brain and Cognitive Sciences at MIT; James Chu, Assistant Professor of Sociology at Columbia University; and Nick Stagnaro, Post-Doctoral Fellow at MIT. The organizing team is supported by Polarization and Social Change Lab’s Chrystal Redekopp, Joe Mernyk, and Sophia Pink.
The study participants will be a large sample of up to 30,000 self-identified Republicans and Democrats, nationally representative on several major demographic benchmarks….(More)”.
Paper by Rea Karachiwalla and Felix Pinkow: “Crowdsourcing has gained considerable traction over the past decade and has emerged as a powerful tool in the innovation process of organizations. Given its growing significance in practice, a profound understanding of the concept is crucial. The goal of this study is to develop a comprehensive understanding of designing crowdsourcing projects for innovation by identifying and analyzing critical design elements of crowdsourcing contests. Through synthesizing the principles of the social exchange theory and absorptive capacity, this study provides a novel conceptual configuration that accounts for both the attraction of solvers and the ability of the crowdsourcer to capture value from crowdsourcing contests. Therefore, this paper adopts a morphological approach to structure the four dimensions, namely, (i) task, (ii) crowd, (iii) platform and (iv) crowdsourcer, into a conceptual framework to present an integrated overview of the various crowdsourcing design options. The morphological analysis allows the possibility of identifying relevant interdependencies between design elements, based on the goals of the problem to be crowdsourced. In doing so, the paper aims to enrich the extant literature by providing a comprehensive overview of crowdsourcing and to serve as a blueprint for practitioners to make more informed decisions when designing and executing crowdsourcing projects….(More)”.
Book Review by Amy Zegart of “We Are Bellingcat: Global Crime, Online Sleuths, and the Bold Future of News” by Eliot Higgins: “On January 6, throngs of supporters of U.S. President Donald Trump rampaged through the U.S. Capitol in an attempt to derail Congress’s certification of the 2020 presidential election results. The mob threatened lawmakers, destroyed property, and injured more than 100 police officers; five people, including one officer, died in circumstances surrounding the assault. It was the first attack on the Capitol since the War of 1812 and the first violent transfer of presidential power in American history.
Only a handful of the rioters were arrested immediately. Most simply left the Capitol complex and disappeared into the streets of Washington. But they did not get away for long. It turns out that the insurrectionists were fond of taking selfies. Many of them posted photos and videos documenting their role in the assault on Facebook, Instagram, Parler, and other social media platforms. Some even earned money live-streaming the event and chatting with extremist fans on a site called DLive.
Amateur sleuths immediately took to Twitter, self-organizing to help law enforcement agencies identify and charge the rioters. Their investigation was impromptu, not orchestrated, and open to anyone, not just experts. Participants didn’t need a badge or a security clearance—just an Internet connection….(More)”.
Paper by Nathalie Colasanti, Chiara Fantauzzi, and Rocco Frondizi: “The purpose of this paper is to study the involvement of the “crowd” in designing innovative public policies, and the possibility for the Third Sector to play a role in this process. To do so, we want to answer the following research question: what is the extent to which crowdsourcing is adopted in financing and delivering public services within New Public Governance arenas? In order to answer it, we employ the following approach. First of all, we will set public innovation into the context of New Public Governance; secondly, we will analyse definitions for crowdsourcing, and thirdly, we will provide an overview and crisis of crowdsourcing examples to demonstrate their significance as novel forms of public service finance and delivery. This approach evidences the potential and the outcomes of applying crowdsourcing in the public sector, and indicates the role of the actors involved: the adoption of a leadership role by the Third Sector could facilitate crowdsourcing processes. The outcome of the application of crowdsourcing in the public sector is a greater involvement of the civil society in its relationship with the State….(More)”.