- free and fair elections; and
- alternative sets of policies espoused by different political options, which demand multiple sources of information.
The open data initiatives that mushroomed in the late 2000s were expected to foster democratic rule in new and more established democracies.
- the politicized use of government data
- the strengthening of partisanship in the face of hard evidence.
Open Data, Closed View
Politicized use of open data refers to its biased interpretation, i.e. downplaying or overplaying the implications of the data. One current example comes from Brazil, where an ongoing criminal investigation labeled Operação Lava Jato instructed by Judge Sérgio Moro put former President Luiz Inácio (“Lula”) da Silva behind bars. The allegations against Lula revolved around publicly released data that suggested he received an apartment in exchange for government contracts. Lula has denied all the charges, arguing they are simply part of a conspiracy to prevent him to run in the presidential elections. At first glance, his imprisonment would be a testament to how open data initiatives can bring down powerful politicians. On closer inspection, though, there is reason to believe that the Brazilian system of justice and the institutions to improve accountability were manipulated and mismanaged. Judge Moro, who always called himself “apolitical,” recently accepted the invitation of newly elected President Jair Bolsonaro to become his Minster of Justice and Public Security. The conflict of interest was apparent to Gleisi Hoffman, president of Lula’s Workers’ Party (PT), who tweeted: “[Moro] helped elect Bolsonaro, now he’ll help him govern.”
Open Data and Partisanship
The second unforeseen consequence of open data initiatives is that they demonstrate the strength of party identification and partisanship in the face of data-based evidence. Contrary to the expectations of open data enthusiasts, voters in many parts of the world are happy to embrace “alternative facts” if they support their views and values. Intuitively, politicians that depart from evidence-based facts should carved themselves smaller niches and eventually become marginalized; however, the opposite is occurring. Despite the incredible amount of data released by government agencies, post-truth leaders are thriving. A psychologist explains this by making reference to the Dunning-Kruger effect: a cognitive bias in which we asses our cognition skills as more sophisticated than they actually are. As he puts it: “the key to the Dunning-Kruger Effect is not that unknowledgeable voters are uninformed; it is that they are often misinformed— their heads filled with false data, facts and theories that can lead to misguided conclusions held with tenacious confidence and extreme partisanship.”
Driving Forward with Data as Fuel
These two unforeseen outcomes do not mean that open data initiatives are misguided or irrelevant for democracy. They do, however, point to one irrevocable fact: publicly available data can be used to serve different, and sometimes opposing, objectives and agendas. For app developers working in tandem with political actors, this means that they need to stop treating open data like a classic "deus ex machina" solution capable of buttressing democracy by its mere presence. In a widely-cited article, Rujier et al. suggest instead that “democratic processes are multifaceted and open data can be used for various purposes, with diverging roles, rules and tools by citizens and public administrators.” These scholars send a warning to app developers that without a deeper understanding of democracy, they are doomed to devise “overly simplistic approaches to open data platform design.” To avoid this, they propose the segmentation of the democratic process into three distinct arenas in which open data plays different roles: monitorial, deliberative, and participatory, for which they propose a particular plan of action as shown here:
“If the public use the app to share their views on fracking, or new housing, local authorities can use the app to save on consultation fees and more efficiently allocate resources
... [w]e’re not suggesting a revolution – we’re working in parallel with government to help the existing structures work more effectively.”
ThinkData offers a lot more data than that – over 250,000 thousand datasets from more than 75 countries around the world. Request a consultation with one of our data experts to talk about external data.