We Heart It A Brief History of Social Bookmarking Hi! Its me again! I’m back with more social media goodness to share. This time round, I’m touching on the brief history of social bookmarking and the advent of the image bookmarking phenomenon, PLUS a list of 10 image bookmarking sites (and 2 more!) and the seo benefits of image bookmarking. Bargain! UPDATE 17th May: Rand fishkin at SMX London has just confirmed that image ALT tags weigh more than H1 tags. As SEOs we are very much aware of the benefits of using social bookmarking as part of linkbuilding. Sites like Digg, Reddit and Stumbleupon are considered mandatory: bookmarking your blog posts and websites not only helps increases traffic to your webpage, it helps create a good mix of backlinks in your collection. From Social To Viral (The term viral here does not exclusively refer to videos that has generated a considerable number of hits in a short period of time, rather, an umbrella marketing term that refers to the use of existing social networks to produce an increase number of mentions / awareness on a particular topic, brand or trend) Sites like Digg, especially, has the potential of making your bookmarked link go viral. Essentially, you’re not just bookmarking a link, you are creating conversations around the topic in the link: Digg allows its users to comment on the link and share it with friends on twitter and facebook. Its no surprise that its popularity has spawned a great many number of digg-clone sites, most of them perusing the pligg tool to create their own social bookmarking sites. Not all of them are great but some of them are getting there: you can check out this massive list of digg-clone social bookmarking sites sorted according to page rank, alexa rank, dofollow and popularity: Social Bookmarking Sites Listed in Order of Pagerank, Alexa Rank, Popularity and DoFollow . Now here’s the thing: like directories, social bookmarking can be useful but also tedious and boring. Going through that list of social bookmarking sites you realize that not all of them have that sense of community, they try hard to emulate Digg and may succeed at its basic function, but the end result is just a mind-numbing collection of spammy looking links. The other problem is that: how many real humans go through these sites to search for information and inspiration? The Start of Image Bookmarking Enter image bookmarking. I love image bookmarking. Everybody loves looking at images. They are colorful, beautiful and they speak louder than a 500-word keyword rich article in an article website nobody reads. Image bookmarking came about after the popularity of design blogs: people don’t just want to rely on the sometimes infrequent updates of design blogs to get their daily dose of inspiration, they want to submit and share their own finds too. A List of 10 Image Bookmarking Sites + 2 more At the moment, I can only find 10 image bookmarking sites on the net. I am quite surprised this technique hasn’t caught on yet. WeHeartIt A simple image bookmarking site, open to everyone. Simply create an account and start submitting. They have a special bookmarklet which you can drag and drop into your browser so the next time you trawl the web and spot an amazing image, just click on it to submit to the site. Allows its members to heart their favorite image from the pool. The more hearts an image gets, the more popular it is. mages in here fall mostly into the photography catergory, the kind that is heavily filtered, warm-lensed and vintage looking. Vi.sualize.us Supposedly the first ever image bookmarking website. The owner wanted to create a bookmarking site that is not elitist and is open to all as well as mantaining its credibility as a truly inspirational visual website. Simply create an account and start posting. You can also download a plugin for your browser. Members can like an image and even post comments about it. Typeish A closed bookmarking community - and for a good reason! This is an image bookmarking community that carefully selects the images it displays on the site. And you can tell: the images all fall into a sort of artistic / design theme. To join, you need to email them and ask / beg for an invite. FFFFound FFFFound! Probably the premier image bookmarking site on the internet right now. It emerged after Vi.sualize.us and started off as a pretty simple and straight to the point image bookmarking site that allows you to register an account and post images. Its popularity forced it to close registrations and now you can only join FFFFound if you have an invite. Images in here fall strictly into the design, artistic and inspiration theme. IMGFave A simple, WeHeartIt clone made on Tumblr. Condense A french image bookmarking site. Currently a closed community but it intends on opening registrations soon. Images strictly into the graphic design spectrum: typography, architecture, packaging and ads. Picocool Another closed community image bookmarking site, but I wouldn’t call it inspiring really. The website looks bland in comparison to the rest I have mentioned here. You need an invite before you can even register, which is a downer. Yayeveryday One of THE BEST image bookmarking sites out there, except that the emphasis is on the artists themselves: original works / images made and submitted by the users.  It is a community of artists, designers, photographers and the people who appreciate them. Users get dedicated profile pages that credits their work, websites, fans, etc. Members can comment on each other’s submissions. Enjoysthin.gs Simply, a place to share and save things you enjoy. People submit their favorite image, and users can rate the image by enjoying it. The more enjoys an image gets, the more popular it is. And a few more similar ones: Lookbook.nu A fashion community site that allows users to submit images of themselves wearing fashionable or stylish items of clothing. Members can hype a particular image and share the image on twitter and facebook. This is a large growing community already with a japanese version. The site cross promotes each and every submission in its own various microsites and social profiles on tumblr, facebook, twitter etc. Polyvore Similar to Lookbook, except that you can also buy the looks. Users can create looks from available items for sale on the site and images of their own and create style inspiration called sets. deviantART A community site that emerged during the livejournal craze. Oh man, I still remember when livejournal was awesome. Nostalgia. Anyway, deviantART is where users can create profile pages, post, discuss share and rate each other’s submissions. It is one of the largest social networking sites for emerging, amatuer and established artists and art enthusiasts with more than 13 million registered users. The SEO Benefits of Image Bookmarking Image bookmarking has the added benefit of going viral quicker than a simple text link. This is because sites like those mentioned above don’t just display your images, it also saves the link in it as well. We Heart It does not use the nofollow attribute on its links. So does Typeish and Enjoythi.gs. All these sites are a minimum of PR 5, and FFFFound doesn’t just keep your link, its saves the alt tags and title of the post it was submitted from as well. The plus side is that you don’t need to be an artist, designer or photographer to participate. As long as the image / content is interesting enough, you’ll make the cut. This also inspires and motivates you to create interesting and unique ideas and ways to market your site / brand. Also, if you are clever enough to replicate these websites, you will see how easy it is to get free content easily, sub-automatic community-driven and daily at that. A great, simple and legit link-baiting technique! Example of Image that has received many Hypes When a member submits an image that has received many hypes, likes or enjoys, they are sure to link back to the post from their own blog to show this off. People like to be popular and people love it when they get good ratings. The backlinks for you will just keep pouring in. If you add a link (like your client’s) with the image and if it gets reblogged and goes viral, all you gotta do is just harvest the links that gets generated. There is also the added bonus that these backlinks are all dofollows. I have also noticed that sites like these get a high Pagerank quicker than normal blogs. (Some of those sites mentioned above, according to their whois records were only created recently, between late 2007-2008.) Of course, the age old argument that an image’s alt tag does not weigh as much as anchor text on a text link will surface, but at the end of the day, a link is still a link and spiders can only read images as text if you leave the alt tags in. How do I know this works? Coz I’v tried it, look: Image Bookmarking Linkbuilding Why create directories and bookmarking sites when you can create image bookmarking sites? 🙂

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Scraping Reddit for insightful data and PR hooks – the quick and dirty way!

It would be pointless to pontificate on the wealth of data insight social media can provide – at this point that knowledge is inescapable.

However, awareness of something’s value doesn’t always translate to knowledge of how to harness it. Given that ‘data’ is simply information, and information is everything, it can be challenging to know where to start.

One useful tool for social media insight is web scraping. Scraping is collecting a range of data from a website and exporting it into an interpretable format. There are several methods to scrape web data, ranging from free software offering standard templates to python libraries.

Scraping a social media website can provide you with data that can be turned into insightful hooks with 10 minutes and Excel.

Virtually any website can be scraped (though you may wish to check the terms of use for blanket bans!) but in this blog I will be looking at Reddit.

You can easily use Reddit’s API to collect data, but I’m going to use Parsehub, which is a free software that allows the user to select and link the data items to be scraped.

Parsehub

This blog isn’t going to go into huge amounts of detail about Parsehub, because it’s an intuitive software that has an in-depth tutorial system, as well as countless guides online.

For scraping it’s better to use old Reddit (old.reddit.com) so make sure to use the correct url when setting up your scrape.

I’m going to look /r/unitedkingdom and select the post title, date, url, number of comments, karma, username and flair if present.

Analysis

There’s a lot you can do with this data once you have it – I’m going to do a simple, quick and dirty analysis in Excel.

/r/unitedkingdom is primary news related posts, so even something as simple as the URLs posted can be insightful.

The above shows the most popular websites linked to by posts on the subreddit over the last few days (or the first 100 pages on the subreddit). The numbers here show that the BBC news and Guardian websites are significantly more posted than the next most posted domains.

It could be interesting to do further analysis on the popularity of the Guardian – are posts from this domain generally more well received than the right leaning publications or are the topics they post about simply more likely to ‘click-bait’ reddit users.

Reddit has a very useful popularity metric which they call karma, which I’ve used for the rest of the analysis.

One thing to keep in mind is, the principal behind reddit is the people ‘upvote’ posts that are interesting, not only those which they agree with. However, like any social media, Reddit is vulnerable to dissenting views being suppressed by downvotes, political ‘brigading’ (where users flock to downvote posts about particular issues they feel strongly about) and karma farming (where accounts spam posts about topics that are performing well, such as about Matt Hancock, in order to reap the karma). This doesn’t really impact the usefulness of analysing a subreddit like /r/unitedkingdom but may be more significant for smaller or more controversial communities.

With that in mind…

Keyword search

A simple method of analysis is a keyword search. If you already know your topic, you can search for specific words and analyse how those compare to the average.

Using the search term “Euro” it’s possible to identify 48 posts out of 1481 as likely being about the Euros. By expanding the key words to include “Euros”, “Football” the number of posts likely to be about the Euros increases to 58.

We can see in the chart above that Euros 2021 posts have had significantly higher average karma than the average over the last few days.

Searching for keywords in this way can get an interesting hook in less than 10 minutes, with just a scraper and Excel.

Popular terms

Conversely, the same quick and dirty approach can be taken to find popular words. By splitting the post titles into individual strings and then counting the occurrences, it’s possible to pick out keywords. After excluding filler the words, the below came out top for the last few days;

Term
UK
COVID
HANCOCK
ENGLAND
NEWS
GOVERNMENT
BREXIT
LABOUR
JOHNSON
POLICE

Occurrences
203
167
74
73
67
66
52
52
49
48

Unsurprisingly, “Covid” comes out near the top, but Matt Hancock is beating Boris for the big topic of conversation on Reddit, after being all over the news cycle last week.

This is echoed in Google search trends which shows an increase in searches for Matt Hancock in the same period as he featured heavily on /r/UnitedKingdom.

Once you’ve identified trending topics you can proceed with more in-depth analysis, such as sentiment analysis or comparison with other social media sites or the media.

Reddit’s karma system is a solid metric for how popular a post is – it’s calculated essentially based on the number of ‘upvotes’ compared to ‘downvotes’ (Reddit’s version of like and dislike).

Here we can see that posts about Matt Hancock attract more comments than the average, but their post karma is massively higher than the average. This indicates that over the last few days – the same time as the Hancock scandal broke – posts about him performed particularly well.

Other possibilities

The possibilities are essentially limitless when it comes to Reddit scraping.

Comments on posts are another wealth of potential insights. Having identified Matt Hancock as a popular topic on /r/unitedkingdom, you could scrape the comments under the relevant posts to run a more in-depth sentiment analysis or run through the same process of key word identification.

Another avenue is a comparison between generic subreddits like /r/unitedkingdom and subreddits dedicated to a specific topic. So, you could compare sentiment of posts about Matt Hancock on /r/unitedkingdom compared with a UK politics subreddit, or even deeper on a Conservative/Liberal subreddit.

Love/hate/love to hate topics like Love Island can yield interesting results with this method. Posts about Love Island on/r/unitedkingdom averaged a karma score of 0.2 (very low) compared with an average closer to 200 on the dedicated subreddit. A sentiment analysis would likely reveal even more interesting results!

Conclusion

So, armed with only a scraper and Excel it’s possible to pull data hooks in a quick session. While data analysis can go significantly deeper than what’s been mentioned thus far, it’s possible that these simple techniques can produce interesting insights to be spun into a campaign or researched further.

Written by

Simran Gill

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