The Moral Narrative Analyzer (MoNA; https://mnl.ucsb.edu/mona) is a hybrid content analytical platform developed by UCSB’s Media Neuroscience Lab. The primary task of MoNA is to extract latent moral content that permeate a wide range of narratives, spanning movie scripts, online news articles, song lyrics, books, and many more.
The GDELT interface for communication research (iCoRe, http://icore.mnl.ucsb.edu/home) introduces a pipeline to access, explore, and analyze the Global Database of Events, Language and Tone (GDELT; Leetaru & Schrodt, 2013). GDELT provides a vast, open source, and constantly updated repository of online news and event metadata collected from tens of thousands of news outlets around the world. Link to paper.
eMFDscore is a python library that allows for the fast and flexible extraction of moral information metrics from textual input data. eMFDscore is built on spaCy for faster execution and performs minimal preprocessing consisting of tokenization, syntactic dependency parsing, lower-casing, and stopword/punctuation/whitespace removal. eMFDscore lets users score documents with multiple Moral Foundations Dictionaries, provides various metrics for analyzing moral information, and extracts moral patient, agent, and attribute words related to entities. To use, visit the eMFDscore Github. To learn more about the development process, see our paper.
Asteroid Impact is a point-and-click style video game where subjects use a cursor to collect crystal-shaped targets that are displayed at different locations while avoiding asteroids that bounce around the screen. All aspects of the game can be manipulated with a high level of experimental control. The stimulus records all game events with 16ms temporal resolution, which are then output as a .csv file. Asteroid Impact is written in Python, is platform agnostic, and can synchronize with TTL triggers. The game features an open source license (CC BY-SA 4.0), and is freely available to the research community. Those wishing to further develop Asteroid Impact or download experimental releases can do so on Github.