Resistances. Journal of the Philosophy of History

Digital footprint, algorithmic surveillance and self-censorship: effects on interpersonal communication authenticity

Emily Vanessa Díaz Pozo, Cynthia Shakira Enriquez Fierro — Mon, 12 Jan 2026 00:00:00 +0000

This article examines how digital footprints and algorithmic surveillance affect the authenticity of interpersonal communication in digital environments. The study sought to determine whether the perception of constant surveillance encourages self-censorship, intolerance, and the deterioration of social dialogue. A non-experimental cross-sectional design with a mixed approach was used. The quantitative part consisted of a survey of 300 participants, and the qualitative part included semi-structured interviews with three specialists in communication, law, and technology. The results indicate that many participants change the way they express themselves on social media for fear of the possible consequences of their digital footprint. This fear reduces spontaneity and helps create closed environments, where there is less contact with different opinions. In summary, algorithmic surveillance weakens the social function of communication and presents significant challenges for coexistence and democratic exchange in the digital environment.

The language of fashion as a communicational construction of identities in contemporary Ecuador

Adriana Paola Criollo Jima, Cynthia Shakira Enriquez Fierro — Mon, 12 Jan 2026 00:00:00 +0000

This article analyzes fashion language in Ecuador not as an object of consumption, but as a form of cultural communication through which identities are constructed and expressed today. The research starts from a central question: how are media messages, global trends, and new consumption habits reshaping the meaning that citizens give to the clothes they wear? To explore this link, the focus was placed on the symbolic value of national clothing and its weight in the country's identity. A mixed, non-experimental, cross-sectional methodology was applied, which allowed for a broad overview of the phenomenon. The study gathered the opinions of 303 people, aged 20 to 50, through surveys, and delved deeper into the views of key players in the sector through qualitative interviews. This cross-referencing of data made it possible to contrast statistical metrics with stories and experiences about clothing in the local context. The results confirm that, although there is consensus on fashion's ability to project who we are, this interpretation is neither linear nor homogeneous. The way we decode clothing is closely tied to how close consumers feel to their roots and to the strong pressure of social media, which today serves as the main aesthetic reference point. There is a constant mix of symbols of heritage and global trends, giving rise to fluid and, at times, contradictory identities. In short, Ecuadorian fashion has an undeniable identity, but its real impact is subject to a permanent tension between tradition, the digital environment, and consumer logic, where the sense of belonging is negotiated at every moment.

Mechanisms for applying artificial intelligence to reduce tax evasion in Ecuador

Danny Gustavo Lemache Noriega — Wed, 28 Jan 2026 00:00:00 +0000

Tax evasion continues to undermine the capacity of the Ecuadorian State to finance its constitutional obligations, due to evasive practices that exceed traditional tax control methods. The general objective of this work was to analyze, through a systematic review, the use of artificial intelligence as a tool for reducing tax evasion in Ecuador. The research adopted a qualitative approach and employed a systematic review methodology to examine relevant scientific literature published in the last five years. Fifteen academic articles were reviewed that addressed models, techniques, and applications of artificial intelligence in tax control processes. The results showed that models such as machine learning, neural networks, random forest, clustering, and expert systems have improved the detection of evasion patterns, optimized audits, identified high-risk taxpayers, and strengthened tax traceability in various countries. It was concluded that, in the Ecuadorian context, legal mechanisms that allow its integration were identified, although challenges persist regarding algorithmic transparency, data protection, technical oversight, and the absence of specific regulation.