We are pleased to announce the addition of CrowdTangle as a data source for Communalytic (https://communalytic.com/).
CrowdTangle is a public insights tool from Facebook that allows users to follow, analyze, and report on what’s happening with public content on social media. And Communalytic is our new research tool for studying online communities and online discourse. Communalytic can collect and analyze public data from social media platforms. It uses advanced text and social network analysis techniques to automatically pinpoint toxic and anti-social interactions, identify influencers, map shared interests and the spread of misinformation, and detect signs of possible coordination among seemingly disparate actors.
With this new data import feature, Communalytic can now collect and analyze public Facebook and Instagram posts that shared the same URL (ex. a URL to a single NYT story or URL to any domain name) via the CrowdTangle API’s Links Endpoint. It is designed for users with access to CrowdTangle and is useful for studying shared interests in online communities and for detecting signs of possible coordination (a.k.a. coordinated inauthentic behavior) among seemingly disparate accounts on Facebook and Instagram. (For more info see: CrowdTangle: How to Collect and Explore Facebook and Instagram Data in Communalytic)
See also the Social Media Research Toolkit, a list of 70+ social media research tools curated by researchers at the Social Media Lab. The toolkit is updated annually and only features tools that have been used in peer-reviewed academic studies. Most of the tools featured are free to use and require little or no programming.
What can you do with this new data source? Introducing the Two-mode Semantic Network
You can use this new data to create a Two-mode Semantic Network. Unlike other data sources available in Communalytic, such as Twitter or Reddit, information about who-replies-to-whom is not provided by the Crowdtangle API. As a result, you will not be able to create a communication network with CrowdTangle data; however, Communalytic can create another type of network commonly referred to as a Two-mode Semantic Network.
As the name suggests, a Two-mode Semantic Network is a graph that describes connections between two types of nodes, where one of the node types represents Social Actors and the other node types represents Semantic Concepts. A connection from Social Actorto Semantic Concept in this network usually implies some form of endorsement, association or affiliation between the two nodes. The exact interpretation of social actors, semantic concepts and network connections will depend on the available data (including any metadata) and research questions that you would like to answer. (For more info see: CrowdTangle: Creating a Communalytic’s Two-mode Semantic Network with Facebook and Instagram Data)
One of the advantages of a Two-mode Semantic Network over a one-mode semantic network is that the underlying social, communication and/or information structures are partially preserved by incorporating social actors as part of the network and linking them to related semantic concepts based on criteria defined by your research questions and methodology.
Analyzing a Two-mode Semantic in Gephi
Once a Two-mode Semantic Network is created in Communalytic, you can download the resulting network as a GraphML file and explore your data further using popular Social Network Analysis (SNA) programs such as Gephi. (For more info see: CrowdTangle: Visualizing Communalytic’s Two-mode Semantic Network in Gephi with Facebook and Instagram Data)