Vestigiality of fair use
Abstract
“Fair use” is at best inconclusive. It does not solve the two real problems: 1) the increasing need of education science, government, and business for multiple copies of documents; and 2) the fact that since the copyright owner's compensation is the total return from the use of his work, the loss through “fair use” of his work cannot be measured in terms of any individual use but only in terms of the total use and total copying. Therefore, we feel that the present provision for fair use, while making possible some types of research use of copyrighted material in computer and microfilm storage devices, cannot solve the “computer problem,” let alone the direct copying problem. At best, it will serve as a temporary safety valve for the user and eventually the courts, until some clearinghouse system is established. At that time, the concept of fair use should lose its importance and die off.
- Journal
- IEEE Transactions on Professional Communication
- Published
- 1975-09-01
- DOI
- 10.1109/tpc.1975.6591193
- CompPile
- Search in CompPile ↗
- Open Access
- Closed
- Topics
- Export
- BibTeX RIS
Citation Context
Cited by in this index (0)
No articles in this index cite this work.
Cites in this index (0)
No references match articles in this index.
Related Articles
-
Computers and Composition Jun 2026“Article laundry” or “tutor in pocket?”: Multilingual writers’ generative AI-assisted writing in professional settings ↗Qianqian Zhang-Wu
-
Computers and Composition Jun 2026Evaluating students’ Coded animated stories as multimodal narrative composition in the middle school English curriculum ↗Len Unsworth
-
Computers and Composition Jun 2026Historicizing critical discourse about emergent tools and technologies across 40 years of Computers and Composition ↗Meghan Velez; Kara Taczak; Matthew D. Bryan
-
Computers and Composition Jun 2026Legacies, commitments, and new challenges: The sweetland digital rhetoric collaborative interviews three generations of computers and composition editors ↗Ali Alalem; Alyse Campbell; Thais Rodrigues Cons; Funmilola Fadairo; Nicole Koyuki Golden
-
Computers and Composition Jun 2026A quantitative, computational investigation of Computers and Composition: Using topic modeling over time to reveal patterns in textual data ↗Stuart Deets