Using DiscoverText for Large Scale Twitter Harvesting

Beyer, Yngvil Nesheim

doi:10.1515/mir-2012-0019

Cited by 6 publications

(2 citation statements)

References 5 publications

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“…One of the main reasons is that there are fewer transaction data sets available to researchers. While participation data are frequently publicly accessible online and research tools exist to create data sets from public social media content (e.g., Beyer, ; Shah, ), other types of transaction data, such as Web server logs, are often the proprietary property of the digital service provider. Some companies work with researchers and allow the publication of some research using this type of data (e.g., Bond et al, ; Hampton, Goulet, Marlow, & Rainie, ), but many do not.…”

Section: Types Of Digital Tracesmentioning

confidence: 99%

Collecting vertical trace data: Big possibilities and big challenges for multi-method research

Menchen-Trevino

2013

Policy &Amp; Internet

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Every person who sends email, text messages, tweets, or simply surfs the Web leaves a digital trace. Researchers are just starting to comprehend the possibilities of “big data” for creating a new picture of social behavior. The potential for innovative work on social and cultural topics far outstrips current data collection and analysis techniques for a variety of reasons, including researchers' lack of access to corporate data sets, technical skills, and analytical lenses. This article draws a distinction between “horizontal” trace data sets that aggregate a specific type of trace, such as all tweets with a certain hashtag, and “vertical” trace data sets, which are organized around research participants. Although both types of data are observations of real‐world digital behavior, they each have distinct advantages and disadvantages for the researcher. Combining these two forms of data provides a richer picture of online activity, and adding other types of data such as interviews, surveys, and experiments can contextualize online activity within broader social processes.

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Section: Types Of Digital Tracesmentioning

confidence: 99%

Collecting vertical trace data: Big possibilities and big challenges for multi-method research

Menchen-Trevino

2013

Policy &Amp; Internet

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“…Tweets were collected during the period from 5 June 2013 up until 25 January 2014 using DiscoverText (Beyer, 2012), a social media analysis platform that collaborates with GNIP – a social data provider which was in fact acquired by Twitter shortly after our data collection was completed. We had so-called Power Track access, meaning that our search string functioned as a filter in relation to the Twitter Firehose – the full and completely unfiltered stream of posts that are made on the platform.…”

Section: Methodsmentioning

confidence: 99%

Turning the inside out: Social media and the broadcasting of indigenous discourse

Lindgren

Cocq

2016

European Journal of Communication

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This article analyses what happens on social media (Twitter) when a local issue specific to a certain Indigenous group spreads out to a wider network of actors. We look closer at the process where emic (inside) discourses are enabled, through social media, to reach a broader audience and become part of translocal debates. In a case study of information sharing, network building and support on Twitter in relation to a series of Sámi anti-mining protests in 2013, we address questions about the dynamics, flows and process of Indigenous communication on Twitter. First, we analyse in what ways and to what extent the posts are used for inreach communication or outreach communication. Second, we analyse the role of tweets that contain links to web resources for broadcasting Indigenous concerns to a wider, more diverse audience. Finally, we assess how different types of actors interact in order to shape the circulation of content. Our analysis shows even though communication went beyond the core community, Sámi actors still appeared to own and control the discourse and agenda on the issue in social media. Obviously, online communities are not secluded communities. For geographically localized groups and for marginalized communities, the use of global social media does not only enable communication with actors in more distant groups and places; social media also makes visible common interests and goals on a global scale. The possibility of addressing multiple audiences at the same time increases the potential of reaching an audience outside one's set of 'followers' or one's tight-knit communities of like-minded people.

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Can social media reveal the preferences of voters? A comparison between sentiment analysis and traditional opinion polls

Oliveira¹,

Bermejo

Santos

2016

Journal of Information Technology & Politics

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Using DiscoverText for Large Scale Twitter Harvesting

Cited by 6 publications

References 5 publications

Collecting vertical trace data: Big possibilities and big challenges for multi-method research

Collecting vertical trace data: Big possibilities and big challenges for multi-method research

Turning the inside out: Social media and the broadcasting of indigenous discourse

Can social media reveal the preferences of voters? A comparison between sentiment analysis and traditional opinion polls

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