@mastersthesis{development-gsi-mastersthesis-20261,
author = "Garc{\'i}a Merinero, Sixto",
abstract = "This project focuses on developing a browser extension to enhance users’ news literacy by
helping them identify potentially manipulative or morally framed content in online news
articles. The main objective of the project is to explore how automated analysis techniques
can help users critically evaluate how news stories are presented on digital platforms.
The proposed system analyzes the textual elements of news articles and identifies linguistic patterns associated with emotional language, exaggeration, and moral framing. By
examining the wording in news content, the extension attempts to detect signals of persuasive or emotionally loaded framing strategies. These indicators are then presented to the
user in an accessible and interpretable way.
The system is implemented as a browser extension that processes news articles directly
on the webpages visited. When a user accesses an online news article, the extension analyzes
the text and highlights relevant indicators of framing or manipulation. The results of this
analysis are presented via an interactive interface integrated into the browser.
The goal of the project is to investigate how lightweight automated text analysis tools
can help readers reflect on the framing and presentation of online news content, ultimately
contributing to improved critical reading and digital news literacy.",
address = "ETSI Telecomunicaci{\'o}n",
institution = "Universidad Polit{\'e}cnica de Madrid",
keywords = "chrome plugin;moral analysis;news",
month = "July",
title = "{D}evelopment of a {B}rowser {E}xtension for {E}nhancing {N}ews {L}iteracy through {A}utomated {D}etection of {M}oral and {M}anipulative {F}raming in {O}nline {N}ews",
type = "TFG",
year = "2026",
}