Stanford CIS

DMCA Counter-Notice: Does It Work to Correct Erroneous Takedowns?

By Daphne Keller on

This blog post is excerpted from our filing in response to the U.S. Copyright Office's 2016 Notice and Request for Public Comment on notice and takedown practice under the Digital Millennium Copyright Act (DMCA). The entire filing is available here.

16. How effective is the counter-notification process for addressing false and mistaken assertions of infringement?

We have not seen studies or significant public data on this question, though there will be useful information in the study just published by Urban, et al.97 Based on our own experience and discussion with other practitioners, we believe that it is rare for users to file counter-notices. Counter-notices certainly appear to be far less common than the improper removals that they are intended to counteract.

A handful of companies track counter-notices in their transparency reports. These companies don’t appear to aggregate the data over time and, in some cases, they track it using non-parallel categories so that comparison is difficult. For example:

These tiny percentages are dwarfed by the portion of dubious DMCA removal requests that researchers have identified. (See studies reported in Appendix B [ed note for blog: also here].) Even if the studies are off by an order of magnitude in their estimates, the number of potentially mistaken or malicious notices still vastly exceeds the number of counter-notices.102

Importantly, the companies issuing detailed transparency reports may be relatively unique among small intermediaries in their commitment to protecting users and offering them a chance to counter-notice. It is unclear whether the thousands of other companies that have registered DMCA agents with the Copyright Office assume similar costs and inconveniences to provide a viable counter-notice process.

The ineffectiveness of the DMCA counter-notice process may be attributable to a number of causes:

Collectively, these factors constitute a meaningful deterrent to counter-notice. The point we make here is not that Congress lacked the intent or policy basis for establishing the detailed hurdles for counter-notifiers in section 512(g). The problem is that, because counter-notice has not been an effective corrective for wrongful notices, section 512(g) alone cannot adequately protect Internet users from having their legal speech removed. For that reason, the other procedural protections for users in section 512, such as form-of-notice requirements and declarations of good faith by copyright owners, play a more important role than Congress may have foreseen. Robust interpretations and enforcement of those protections by the courts and the Copyright Office are critical to maintain the DMCA’s carefully structured balance. A more detailed discussion of these other protections in is included above in response to Question 12.

In (weak) defense of section 512(g), the transparency and expectation of procedural fairness created by the counter-notice process may be acting as a deterrent for some bad faith removal requests. It is possible, however, that the value of counter-notice is far exceeded by the value of public transparency about particular removals, such as those posted through Lumen or noted by the OSP on the page from which content has been removed. This transparency allows the identification of erroneous DMCA notices to be crowd-sourced across interested individuals online. To our knowledge there are no public datasets that would allow us to test this hypothesis.


97 See Jennifer Urban, et al., Notice and Takedown in Everyday Practice (2016), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2755628.

98Twitter, Transparency Report, Copyright Notices (2015), https://transparency.twitter.com/copyrightnotices/2015/jul-dec.

99 Tumblr, Copyright and Trademark Transparency Report (2015), http://static.tumblr.com/zyubucd/0uWntp2iw/iptransparencyreport2015a_upd....

100 GitHub, Transparency Report (2014), https://github.com/blog/1987-github-s-2014-transparency-report.

101 Automattic, Intellectual Property (2015), https://transparency.automattic.com/intellectual-property/intellectualpr....

102 This calculation assumes that the rate of counter-notice for the data sets discussed in Appendix B is similar to the rates reported in the transparency data discussed above. We see no reason to expect otherwise.

103 See, e.g., Song Fi, Inc. v. Google, Inc., 2015 WL 3624335 (N.D. Cal. June 10, 2015); Lewis v. YouTube LLC, 2015 WL 9480614 (Cal. App. Ct. Dec. 28, 2015); Sikhs for Justice “SFJ,” Inc. v. Facebook, Inc., 2015 WL 7075696 (N.D. Cal. Nov. 13, 2015).