The link between extreme weather and climate change is being highlighted in ever more countries. Increased public understanding of this issue is essential for policymaking, both in terms of climate change mitigation and adaptation. As social media are becoming central to the exchange of information in society, the purpose is to analyze what generates intensified attention to the connection between extreme weather and climate change in digital communication. This is done by examining periods of intensified co-occurrence of mentions of extreme weather and climate change on English-language Twitter (N = 948,993). Our quantitative analysis suggests that during the period 2008-2017 the years 2010, 2011 and 2017 exhibit a considerable increase in 'causality discourse', i.e. tweets that articulate the topic of climate change + extreme weather, in comparison with earlier years. These periods of significant growth are interpreted as involving dynamic relationships between three factors, namely mediated highlighting of previous or ongoing extreme-weather events (extreme-event factor); connection of extreme weather to climate change by traditional media or other intermediaries (media-driven science communication factor); and actions of individual users (digital-action factor). Through a qualitative discourse analysis, how these factors jointly generate increasing attention to 'causality discourse' is more closely explored for the case of 2017.
Studies have shown that authoritarian regimes tend to censor the media to limit potential threats to the status quo. While such censorship practices were traditionally aimed at broadcast and print media, the emergence of the Internet and social media in particular, prompted some authoritarian regimes, such as the Assad regime in Syria, to try and exert a similar level of censorship on the Internet as well. During the Arab Spring, the Syrian regime blocked hundreds of websites that provided social networking, news, and other services. Taking Syria as a case study, this paper examines whether Internet censorship succeeded in preventing Internet users from reaching censored online content during 2010−2012. By analyzing the use of Alkasir, a censorship circumvention tool created by the author, the paper provides empirical evidence demonstrating that users were in fact able to bypass censorship and access blocked websites. The findings demonstrate that censorship circumvention tools constituted a threat to the information control systems of authoritarian regimes, highlighting the potential of such tools to promote online freedom of expression in countries where Internet censorship is prevalent.
A core concept within journalism is the demand for correctness and the ability to double-check news and its sources (Kovach & Rosenstiel, 2014). In this paper, we reflect on the development of a prototype to study the possible use of blockchain technology to create a global secure database of fact-checks that is open to the public. The prototype utilized Hyperledger fabric to create a permissioned blockchain that stores fact-checks created by its users. Through automated processes using smart contracts (chain code applications), we aimed to create a solution that would improve the reliability of fact-checking and keep track of each fact-checking process for digital content, including pictures and videos.Our conclusion is that it is indeed possible to create a blockchain-based system that allows the establishment of a network of fact-checkers that could collectively build and maintain a globally accessible fact-checking database. However, based on technical developments and the evaluation performed by the professional fact-checkers and data journalists in our study, we conclude that the cost, complexity, and rapid technological changes required in this domain indicate that blockchain technology is not yet ready to be directly applied to fact-checking processes in a real-world scenario.
This study examines how three types of extreme events (heat waves, droughts, floods) are mentioned together with climate change on social media. English-language Twitter use during 2008–2017 is analyzed, based on 1,127,996 tweets (including retweets). Frequencies and spikes of activity are compared and theoretically interpreted as reflecting complex relations between the extreme event factor (the occurrence of an extreme event); the media ecology factor (climate-change oriented statements/actions in the overall media landscape) and the digital action factor (activities on Twitter). Flooding was found to be by far the most tweeted of the three in connection to climate change, followed by droughts and heat waves. It also led when comparing spikes of activity. The dominance of floods is highly prevalent from 2014 onwards, triggered by flooding events (extreme event factor), the climate science controversy in US politics (media ecology factor) and the viral power of celebrities’ tweets (digital action factor).
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