The History of Digital Spam
Not on the map. Why?
Abstract (arXiv)
Spam!: that's what Lorrie Faith Cranor and Brian LaMacchia exclaimed in the title of a popular call-to-action article that appeared twenty years ago on Communications of the ACM. And yet, despite the tremendous efforts of the research community over the last two decades to mitigate this problem, the sense of urgency remains unchanged, as emerging technologies have brought new dangerous forms of digital spam under the spotlight. Furthermore, when spam is carried out with the intent to deceive or influence at scale, it can alter the very fabric of society and our behavior. In this article, I will briefly review the history of digital spam: starting from its quintessential incarnation, spam emails, to modern-days forms of spam affecting the Web and social media, the survey will close by depicting future risks associated with spam and abuse of new technologies, including Artificial Intelligence (e.g., Digital Humans). After providing a taxonomy of spam, and its most popular applications emerged throughout the last two decades, I will review technological and regulatory approaches proposed in the literature, and suggest some possible solutions to tackle this ubiquitous digital epidemic moving forward.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Aug 2019.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 3; 2024: 1; 2025: 1; 2026: 3.
11 papers.
- 2023Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Modelscited by 144
- 2023Factuality Challenges in the Era of Large Language Modelscited by 125
- 2023GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Modelscited by 40
- 2022Online Deep Learning from Doubly-Streaming Datacited by 2
- 2024Classifying spam emails using agglomerative hierarchical clustering and a topic-based approachcited by 1
- 2025A Survey of Social Cybersecurity: Techniques for Attack Detection, Evaluations, Challenges, and Future Prospectscited by 1
- 2026Harm in AI-Driven Societies: An Audit of Toxicity Adoption on Chirper.aicited by 1
- 2026Broken Gates: Re-evaluating Web Bot Defenses in the Age of LLM Agentscited by 1
- 2021Detecting Propaganda on the Sentence Level during the COVID-19 Pandemiccited by 0
- 2021Detecting and Quantifying Malicious Activity with Simulation-based Inferencecited by 0
- 2026Agentic AI: User Empowerment or Foreclosure?cited by 0
- 2026Agentic AI: User Empowerment or Foreclosure?6 Aug 2026
- 2026Broken Gates: Re-evaluating Web Bot Defenses in the Age of LLM Agents21 Jul 2026
- 2026Harm in AI-Driven Societies: An Audit of Toxicity Adoption on Chirper.ai3 Jan 2026
- 2025A Survey of Social Cybersecurity: Techniques for Attack Detection, Evaluations, Challenges, and Future Prospects6 Apr 2025
- 2024Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach7 Feb 2024
- 2023Factuality Challenges in the Era of Large Language Models8 Oct 2023
- 2023GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Models1 Oct 2023
- 2023Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models7 Apr 2023
- 2022Online Deep Learning from Doubly-Streaming Data25 Apr 2022
- 2021Detecting and Quantifying Malicious Activity with Simulation-based Inference6 Oct 2021
- 2021Detecting Propaganda on the Sentence Level during the COVID-19 Pandemic31 Jul 2021