Before this post highlights some advanced Twitter Search features it might be better to examine important elements of Twitter Search.
How does Twitter Search work?
- Twitter literally searches
- For the most part Twitter Search, in 2013, is a literal search engine. In other words if you search for “#socialmedia” it will bring up tweets with the exact hashtag #socialmedia or tweets with the two words “social” and “media” within the same tweet.
- Twitter, unlike Google or Yahoo!, does not associate words with synonyms. “media”, for example, is not linked to “electronic” or “medium”.
- Minor spellings are okay to make on Twitter because forgetting a missing letter, for instance, will allow Twitter to stem that word thus filling in the missing letter. If, however, several letters are missing then this word will not be stemmed nor will Twitter suggest (though auto-suggestion) what you might have meant.
- Twitter can search comfortably for short versions of a word. “dev”, for instance, can be used as a replacement for “development” but “dev” will only stem “dev” not “development” too.
- #HashTag search
- Hashtag searching is more powerful because it not only searches for the hashtag phrase but each of the words that are contained within the hashtag.
- Capitals are ignored so it is best to ignore capitals when searching. It is, however, a good idea to include capitals whenever you write two or more words as hashtags because it is easier for the average user to differentiate words; thus adding to the overall search experience.
- Twitter and emotions
- Twitter Search ‘gets’ emotions since it is possible to sentiment positive “:)” and negative “:(” tweets. It is also possible to search for questions simply by including the question mark “?” sign in the search box.
Photo of Twitter and Google. Click image for source.
Twitters’ advanced search features
There is no point in re-inventing the wheel so a list of Twitters’ advanced search features can be found from their website. It is worth noting that using Twitter’s advanced search features allows you to carry out a better real-time, Twitter search.
In summary, however, the following commands can be useful to carry out an advanced Twitter search:
- -rt (removes retweets from search results)
- filter:links (searches for tweets with hyperlinks included in them)
- source:txt (searches for text-only tweets)
- near:belfast (uses location-based searching to find tweets near Belfast)
- since:22/05/2013 (will search for tweets that were written from 22nd May 2013. Dots do not work for this feature, for example, 22.05.2013 so use dashes only)
Can you save Twitter searches?
If you regularly carry out a search on Twitter you may save it from Twitter’s advanced settings tab. Details can be found on point two’s hyperlink in the references below.
By Gerald Murphy
- Twitter (2013) Can’t find exactly what you’re looking for in search? [Online] [Accessed on 21.05.2013] https://support.twitter.com/articles/71577-using-advanced-search
- Twitter (2013) Saving Searches. [Online] [Accessed on 21.05.2013] https://support.twitter.com/articles/96646-how-to-save-searches
- why do people prefer bing 2013
- why i like bing better than google
- is bing better than google
- is bing better than google 2013
- search that is better than google 2013
- All the phrases above lead numerous users to my Is Bing better than Google? post.
Please note, several of these queries appeared several times (i.e. several people searched with the same keywords/query).
- comments on dissertation objectives
- The Aim and Objectives post was a good hit for this query.
- Search engines, however, do not know what type of dissertation the searcher wanted. The aim and objectives are suitable to undergraduate Bachelor’s Degree Students.
- “the internet is a(n) ________ whereas the web is a(n) ________.”
- The What is the Web? post was a very good match for this query because the terms “internet” and “web” appeared near each other (n).
- internet search statistics for 2013 and google and bing
- related search statistics
- The search related statistics post was a very good match for these terms because the post focused on numeric statistics and was published in 2013. The search engine, therefore, could understand that these statistics were up-to-date etc.
From yesterday Android users could download Google Translate to their mobile. Why would you want to do this?
Translate without the internet or 3G/4G
Android users on 2.3 or above can download Google Translate which allows them to ‘speak’ in a foreign country, such as, on holidays, or a quick city break, for example.
A search engine is a utility program used to locate information on the web. Search engines, however, give different results. An post later this week will clarify/explain why search engines give different results.
You do not search the web using a search engine
A search engine finds information by using a self-created bot: Bots are unique to every search engine. Bots create an inverted index with all the information they find. Thus, you search the bot’s representation of the web, not the actual web. This explains why you cannot carry out a lot of real time search.
- Bots need to read a blog first (crawl it)
- Store its content by identifying keywords (creating an inverted index)
- which can be searched by the searcher (thus searching the bots representation of the web)
Search engine factors when searching
IP addresses determine locational searches. Cookies, internet browsers and user accounts, on the other hand, lead to personalisation of results on the web. This means that you are not searching the bot’s representation of the web, you are searching a smaller section that the search engine has created for you, your likes, interests and past searches.
Number of Internet users in Great Britain
Eighty per cent, twenty one million people, of Great Britain have access to the Internet (Office for National Statistics 2013: online). 5.2m don’t saying they don’t need Internet (not useful, not interesting).
Internet penetration in Europe and the rest of the world
Internet penetration in Europe is 63.2 per cent which is almost double (34.3%) of the world average for Internet penetration (as a whole) (Internet World Stats 2013: online).
Does Google dominate search?
Google dominates the global search engine market (89.83%) on desktop and mobile/tablet devices (Net Market Share 2013: online).
Yes, Google does dominate search. Recently, 2013, SearchEngineLand (via StatCounter) announced that Google is the largest search engine in South Korea (2013: online). Google have overtook Naver, South Korea’s own search engine.
- Net Market Share (2013) Search Engine Share. [Online] [Accessed on 05th Feb 2013] http://www.netmarketshare.com/search-engine-market-share.aspx?qprid=4&qpcustomd=1
- Office for National Statistics. (2013) Release: Internet Access – Households and Individuals, 2012. [Online] [Accessed on 05th Feb 2013] http://www.ons.gov.uk/ons/publications/re-reference-tables.html?edition=tcm%3A77-270031
- Internet World Stats. (2013) Internet Users In Europe. [Online] [Accessed on 05th Feb 2013] http://www.internetworldstats.com/stats4.htm#europe
- SearchEngineLand (2013) Has Google Overtaken Naver In South Korea? [Online] [Accessed on 07th Feb 2013] http://searchengineland.com/has-google-overtaken-naver-in-south-korea-147599
- seo dissertation manchester
- This search was a hit for my blog because each of these terms are mentioned several times in semantic tags. For example, dissertation and manchester have been in several header tags (h1 and h2), as well as, title and strong tags. Combined with a previous post on search engine optimisation (SEO) these three terms were a perfect hit for this blog.
- gerald murphy info comms
- My About Gerald and Who is Gerald? What is search? (post and page, respectively) allowed search engines to match these to the search of “gerald murphy info comms”
- the internet is a(n) ________ whereas the web is a(n) ________.
- My post What is the Web? was a good hit for this query because the terms “internet” and “web” are in the title, as well as, appearing several times within the body of the text (term frequency and term location).
- This query is also interesting because it suggests that the searcher was trying to use advanced features for a search engine (e.g. Google). (n) commands a search engine to find two terms near (n) each other.