The final paper in this final session of Social Media & Society 2018 is Sonya Sachdeva, whose interest is in the role of social media in discussing the smoke from wildfires. Wildfires themselves have become more prevalent and more intense around the world, as a result of climate change, and the smoke from such fires can affect far larger areas than the fires themselves. Some two thirds of the United States are affected by the smoke from wildfires, even if they are nowhere near forests and firezones.

If accurate assessments of air quality are unavailable due to gaps in monitoring …

The next speaker at Social Media & Society 2018 is Wasim Ahmed, whose focus is on discussions of infectious diseases on Twitter. Such diseases can be very deadly, and when outbreaks occur they lead to the public expression of people’s views and opinions via social media. There’s a need to further understand such communication processes, beyond mere metrics, through qualitative and mixed-methods approaches.

The present paper focusses especially on the peaks of the 2009 swine flu and 2014 Ebola outbreaks. What did English-language Twitter users discuss during these times, how do these events compare with each other, and are …

The final session at Social Media & Society 2018 starts with Supraja Gurajala, whose interest is in using Twitter data for responding to air quality issues. Air quality is a major health issue in population and industrial centres around the world, and metrics like the Air Quality Index (AQI) and Particulate Matter index (PM) are key to its assessment.

Air quality monitoring stations exist around the world, but are unevenly distributed. How might the gaps in monitoring be addressed by increasing the number of monitoring stations, given the costs involved in setup and maintenance, then? One option may be to …

I am the final speaker in this Social Media & Society 2018 session, presenting a paper co-authored with Christian Nuernbergk and Aljosha Karim Schapals, my colleagues in the Journalism beyond the Crisis ARC Discovery project. Here are our slides:

The third speaker in this Social Media & Society 2018 session is Johan Farkas, whose focus is on the activities of the Internet Research Agency (IRA) in St. Petersburg, described as the Russian ‘troll factory’ and indicted for its involvement in Russian interference with the 2016 U.S. presidential election.

There are three forms of propaganda that have been identified in past literature: ‘white’ propaganda has a known source; ‘grey’ propaganda has an obfuscated source; and ‘black’ propaganda claims to be from a legitimate source but isn’t. Is this a useful classification in this context? Do the processes of propaganda dissemination …

The next presenter in this Social Media & Society 2018 session is Oluwaseun Ajao, who shifts our focus to the question of ‘fake news’ on Twitter. Why is such content circulated on the platform? In part this is because these stories often generate more impact than ‘real’ news stories: this might result in significant shifts in political opinion, financial gains, or other outcomes that are desirable to the operators behind such initiatives.

The present study explores whether the veracity of a set of tweets might be able to be ascertained through automated content analysis. Are there semantic of linguistic …

The final session at Social Media & Society 2018 today is one I’m moderating, and starts with a paper by Ivan Kalmar, Nicholas Worby who explores the connections between Islamophobia and antisemitism in extremist online communication. Islamophobic politicians go to great lengths to claim that they are not antisemitic, in order not to be painted as fascists, yet give enough hints to their followers to still be seen as anti-Jewish.

One of the common targets in this complicated manoeuvre is George Soros, the Hungarian-Jewish billionaire who is generally accused of funding liberal civil society institutions and has been attacked by …

The next speaker in this ICA 2018 session is Fabian Pfaffenberger, who also highlights the unreliability of Twitter data. The API’s 1% sample is extremely biased, and the search API is also unreliable in what it delivers; historical data is especially incomplete as the search API delivers only tweets posted in the past 6-7 days and will not include deleted tweets or tweets from subsequently deleted or suspended accounts.

User information is also incomplete, and geodata is largely unreliable and limited to some 1% of all tweets. Further, genuine users are mixed with bots in the datasets – better bot …

I’ve now moved on to an ICA 2018 high-density session on computational methods, which starts with Rebekah Tromble. She begins by noting the uncertainty about what Twitter data actually represent, and her project was to explore these questions.

Keyword query data collected via the Twitter API are not representative of the underlying population: it returns representative, but not necessarily complete data. When the rate limits are hit, the data are truncated, though not on the basis of specific features. The biases that result from such selection are likely to be substantial.

What factors drive such search API sampling, then? Content …