Often times comments sections of blogging sites suffer from a multiplicity of problems – they are overrun by spam or by repeated entries of the same or similar point; continue endlessly and generally overcrowded with grammatical and spelling mistakes. Comments sections that were once seen as an unmitigated good are now seen as something irrelevant at best and a substantial distraction at worst. Here below I discuss a few ways we can re-engineer commenting systems so to mitigate some of the problems in the extant models, and possibly add value to them.
Comments are generally displayed in a chronological or reverse chronological order, which implies that firstly the comments are not arranged in any particular order of relevance and secondly that users just need to repost their comments to position them in the most favorable spot â€“ the top or the bottom of the comment heap. One way to “fix” this problem is by using a user based rating system for comments. A variety of sites have implemented this feature to varying levels of success. The downside of using a rating system is that people don’t have to explain their vote ( Phillip Winn) for or against the comment leading occasionally to rating “spam”. BBC circumvents this problem on its news forums by allowing users to browse comments either in a chronological order or in the order of reader’s recommendations.
Another way we can make comments more useful is by creating message board like commenting systems that separate comments under mini-sections or “topics”. One can envision topics like “factual problems in XYZ” or “readers suggested additional resources and links” that users can file their comments under. This kind of a system can help in two ways – by collating wisdom (analysis and information) around specific topical issues raised within the article and by making it easier for users to navigate to the topic or informational blurb of their choice. This system can also be alternatively implemented by allowing users to tag portions of the article in place â€“ much like a bibliographic system that hyperlinks relevant portions of the story to comments.
The above two ways deal with ordering the comments but do nothing to address the problem of small irrelevant repetitive comments, often times posted by the same user under one or multiple aliases. One way to address this issue would be to set a minimum word limit for comments. This will prod users to put in a more considered response. Obviously, there is a danger of angering the user leading to him/her adding a longer more pointless comment or just giving up but on an average, I believe that it will lead to an improvement in the quality of the comments. We may also want to consider coding in algorithms that disallow repeated postings of same comments by a user.
The best way to realize the value of comments is to ask somebody â€“ preferably the author of the article- to write a follow-up article that incorporates relevant comments. Ideally, the author will use this opportunity to acknowledge factual errors and analyze points raised in the comments. Hopefully, then this follow up piece will be able to solicit more comments and the process repeated again helping take discussion and analysis forward.
Another way to go about incorporating comments is to use a wiki-like system of comments to create a “counter article” or critique for each article. In fact, it would be wonderful to see a communally edited opinion piece that grows in stature as multiple views get presented, qualified, and edited. Wikipedia does implement something like this in the realm of information but to bring it to the realm of opinions would be interesting.
One key limitation of most current commenting systems on news and blog sites is that they only allow users to post textual responses. As blog and news publishing increasingly leverages multimedia capabilities of the web, commenting systems would need to be developed that allow users to post their response in any media. This will once again present a challenge in categorizing and analyzing relevant comments but I am sure novel methods, aside from tagging and rating, will eventually be developed to help with the same.
The few ideas that I have mentioned above are meant to be seen as a beginning to the discussion on this topic and yes, comments would be really appreciated.