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๊ฒ€์ฆ๋œ ํŒŒํŠธ๋„ˆ ์ œํœด์‚ฌ ์ž๋ฃŒ

Attitudes, Values and Perceptions Concerning Music Copyright Infringement

ํ•œ๊ตญํ•™์ˆ ์งฟ’์—์„œ ์ œ๊ณตํ•˜๋Š” ๊ตญ๋‚ด ์ตœ๊ณ  ์ˆ˜์ค€์˜ ํ•™์ˆ  ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋ฅผ ํ†ตํ•ด ๋‹ค์–‘ํ•œ ๋…ผ๋ๅฉ๊ณผ ํ•™์ˆ ์ง€ ์ •๋ณด๋ฅผ ๋งŒ๋‚˜๋ณด์„ธ์š”.
30 ํŽ˜์ด์งฟ’
๊ธฐํƒ€ํŒŒ์ผ
์ตœ์ดˆ๋“ฑ๋ก์ผ 2025.03.19 ์ตœ์ข…์ ฟ’์ž‘์ผ 2008.06
30P ๋ฏธ๋้ฉ๋ณด๊ธฐ
Attitudes, Values and Perceptions Concerning Music Copyright Infringement
  • ๋ฏธ๋้ฉ๋ณด๊ธฐ

    ์„œ์่ง์ •๋ต–

    ยท ๋ฐœํ–‰๊ธฐ๊ด€ : ํ•œ๊ตญ์ฃผ๊ด€์„ฑ์—ฐ๊ตฌํ•™ํšŒ
    ยท ์ˆ˜๋ก์ง€ ์ •๋ณด : Journal of Human Subjectivity / 6๊ถŒ / 1ํ˜ธ / 67 ~ 96ํŽ˜์ด์งฟ’
    ยท ์ €์ž๋ช… : Patrick V. Kerrigan, J.D.

    ์ดˆ๋ก

    This is a pilot study regarding unauthorized music downloading in the United States, which can be a felony crime, even if done for personal use and not for profit or commercial gain. It examines attitudes, perceptions and values of participants toward both downloading activity and toward recent public policy initiatives expanding the scope of intellectual property protection and the severity and certainty of formal sanctions. The Qโ€sample (n=50) in this study takes into account the role of deterrence, utility maximization, social bonding, and individual norm variables, as well as property interests and public support for new government policies protecting those interests by the use or threat of criminal prosecution. The Pโ€sample (n=50) was a convenience sample of participants readily available to the author, many purposely selected because of age, gender, race, and occupation so as to generate a wide variety of perspectives and opinions on the issues. Four factors were extracted: Antiโ€Regulation; Proโ€Property Rights; Proโ€Downloading; and Proโ€Deterrence. Factor 1 was characterized by a significant lack of agreement with deterrence arguments and constraining internal norms or external social bonds, even if they were not motivated by the utilitarian benefits of downloading. Even though its preference for utility benefits was only mild, the overall perspective of this factor was decidedly against government regulation and favorable to downloading. Factor 2 is the only group that is sympathetic to the interests of copyright owners. It respects their property rights, agrees with deterrence statements, does not show a preference for the benefits of downloading, and is influenced towards compliance with copyright and criminal law by family and friends. Factor 3 was most highly correlated with Factor 1, sharing an attitude unconstrained by deterrence, social bonds or internal norms, but distinguishable by its utility maximization orientation, being most significantly influenced by the net benefits of downloading music. Factor 4 clearly is motivated by deterrence statements. It may disagree with government and industry positions, but apparently its members will not act on such disagreement. The most significant finding is the consensus of all factors signifying strong disagreement with the position of the government and the recording industry that more people should be arrested for illegal downloading. In fact, all consensus statements indicated a lack of support for copyright interests or deterrence theory.

    ์ฐธ๊ณ ์ž๋ฃŒ

    ยท ์—†์Œ
  • ์ž์ฃผ๋ฌป๋Š”์งˆ๋ๅฉ์˜ ๋‹ต๋ณ€์„ ํ™•์ธํ•ด ์ฃผ์„ธ์š”

    ํ•ดํ”ผ์บ ํผ์Šค FAQ ๋”๋ณด๊ธฐ

    ๊ผญ ์•Œ์•„์ฃผ์„ธ์š”

    • ์ž๋ฃŒ์˜ ์ •๋ณด ๋ฐ ๋‚ด์šฉ์˜ ์ง„์‹ค์„ฑ์— ๋Œ€ํ•˜์—ฌ ํ•ดํ”ผ์บ ํผ์Šค๋Š” ๋ณด์ฆํ•˜์ง€ ์•Š์œผ๋ฉฐ, ํ•ด๋‹น ์ •๋ณด ๋ฐ ๊ฒŒ์‹œ๋ฌผ ์ €์ž‘๊ถŒ๊ณผ ๊ธฐํƒ€ ๋ฒ•์  ์ฑ…์ž„์€ ์ž๋ฃŒ ๋“ฑ๋ก์ž์—๊ฒŒ ์žˆ์Šต๋‹ˆ๋‹ค.
      ์ž๋ฃŒ ๋ฐ ๊ฒŒ์‹œ๋ฌผ ๋‚ด์šฉ์˜ ๋ถˆ๋ฒ•์  ์ด์šฉ, ๋ฌด๋‹จ ์ „์žฌโˆ™๋ฐฐํฌ๋Š” ๊ธˆ์ง€๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.
      ์ €์ž‘๊ถŒ์นจํ•ด, ๋ช…์˜ˆํ›ผ์† ๋“ฑ ๋ถ„์Ÿ ์š”์†Œ ๋ฐœ๊ฒฌ ์‹œ ๊ณ ๊ฐ๋น„๋ฐ”์นด์ง€๋…ธ Viva์˜ ์ €์ž‘๊ถŒ์นจํ•ด ์‹ ๊ณ ๋น„๋ฐ”์นด์ง€๋…ธ Viva๋ฅผ ์ด์šฉํ•ด ์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.
    • ํ•ดํ”ผ์บ ํผ์Šค๋Š” ๊ตฌ๋งค์ž์™ฟ’ ํŒ๋งค์ž ๋ชจ๋‘๊ฐ€ ๋งŒ์กฑํ•˜๋Š” ์„œ๋น„์Šค๊ฐ€ ๋˜๋„๋ก ๋…ธ๋ ฅํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์•„๋ž˜์˜ 4๊ฐ€์ง€ ์ž๋ฃŒํ™˜๋ถˆ ์กฐ๊ฑด์„ ๊ผญ ํ™•์ธํ•ด์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.
      ํŒŒ์ผ์˜ค๋ฅ˜ ์ค‘๋ณต์ž๋ฃŒ ์ €์ž‘๊ถŒ ์—†์Œ ์„ค๋ช…๊ณผ ์‹ค์ œ ๋‚ด์šฉ ๋ถˆ์ผ์น˜
      ํŒŒ์ผ์˜ ๋‹ค์šด๋กœ๋“œ๊ฐ€ ์ œ๋Œ€๋กœ ๋˜์ง€ ์•Š๊ฑฐ๋‚˜ ํŒŒ์ผํ˜•์‹์— ๋งž๋Š” ํ”„๋กœ๊ทธ๋žจ์œผ๋กœ ์ •์ƒ ์ž‘๋™ํ•˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ ๋‹ค๋ฅธ ์ž๋ฃŒ์™ฟ’ 70% ์ด์ƒ ๋‚ด์šฉ์ด ์ผ์น˜ํ•˜๋Š” ๊ฒฝ์šฐ (์ค‘๋ณต์ž„์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ๋Š” ๊ทผ๊ฑฐ ํ•„์š”ํ•จ) ์ธํ„ฐ๋„ท์˜ ๋‹ค๋ฅธ ์‚ฌ์ดํŠธ, ์—ฐ๊ตฌ๊ธฐ๊ด€, ํ•™๊ป“, ์„œ์  ๋“ฑ์˜ ์ž๋ฃŒ๋ฅผ ๋„์šฉํ•œ ๊ฒฝ์šฐ ์ž๋ฃŒ์˜ ์„ค๋ช…๊ณผ ์‹ค์ œ ์ž๋ฃŒ์˜ ๋‚ด์šฉ์ด ์ผ์น˜ํ•˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ
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์•ˆ๋…•ํ•˜์„ธ์š”. ํ•ดํ”ผ์บ ํผ์Šค์˜ ๋ฐฉ๋Œ€ํ•œ ์ž๋ฃŒ ์ค‘์—์„œ ์„ ๋ณ„ํ•˜์—ฌ ๋‹น์‹ ๋งŒ์˜ ์ดˆ์•ˆ์„ ๋งŒ๋“ค์–ด์ฃผ๋Š” EasyAI ์ž…๋‹ˆ๋‹ค.
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์ด๋Ÿฐ ์ฃผ์ œ๋“ค์„ ์ž…๋ ฅํ•ด ๋ณด์„ธ์š”.
- ์œ ์•„์—๊ฒŒ ์ ํ•ฉํ•œ ๋ฌธํ•™์ž‘ํ’ˆ์˜ ๊ธฐ์ค€๊ณผ ํŠน์„ฑ
- ํ•œ๊ตญ์ธ์˜ ๊ฐ€์น˜๊ด€ ์ค‘์—์„œ ์ •์‹ ์  ๊ฐ€์น˜๊ด€์„ ์ด๋ฃจ๋Š” ๊ฒƒ๋“ค์„ ๋ฌธํ™”์  ๋ฌธ๋ฒ•์œผ๋กœ ์ •๋ฆฌํ•˜๊ณ , ํ˜„๋Œ€ํ•œ๊ตญ์‚ฌํšŒ์—์„œ ์ผ์–ด๋‚˜๋Š” ์‚ฌ๊ฑด๊ณผ ์‚ฌ๊ณ ๋ฅผ ๋น„๊ตํ•˜์—ฌ ์ž์‹ ์˜ ์˜๊ฒฌ์œผ๋กœ ๊ธฐ์ˆ ํ•˜์„ธ์š”
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