Still being ill I was unable to go to today’s lesson as well however after reviewing Moodle I was able to see what they did in the lesson. They started off the lesson by going over the homework, which was discussing TV evening news from the night before.
They then moved onto showing the Brexit VT packages and reading out the studio intro for it. After watching all of the videos, each group was provided with some feedback on what they could do better next time, what went well etc. Continuing, we went over the skill of writing to pictures, which is of much importance.
To end the class, the homework was handed out. We have to write a better version of our Brexit voiceover and record it. We also have to write and record an audio of a piece called “What I learned as a journalist” and talk about the five most valuable things we learned as a broadcast journalists from producing the Brexit VT.
Once again, I was not able to attend this class as I became very ill however I heard that what they did was go over the data sets that we had to find and were given feedback. They then had a guest speaker who introduced the class to ‘Fighthoax’, telling them what it is about, how the system works and how they can use it.
Today was a really fun day, we had a field trip at the houses of parliament
in Westminster. We were given an assignment to create a VT package on Brexit.
Before going on this field trip, my group met up and discussed what angle we
would want to take and our order of filming. We decided that we would focus on
teen opinion’s on Brexit. At the time of filming the labour party had just
backed a second referendum, meaning that younger people would have a chance to
vote, thus we focused on asking teens about this when we interviewed them.
We then decided on who would do what and the order of our VT package. We
decided that I would be the presenter and camera woman, Craig an interviewer
and cameraman, Alessia also an interviewer and the editor and Matt would do the
voice over as well as the research.
Lastly, we created a general order of out package. We decided that we wanted
to start it off with shots of the houses of parliament and then the presenter
would start off talking about where we are, what’s going on and what we are
going to be talking about. Moving on to shots of protestors, houses of
parliament etc which will be shown with the voice over in the background,
discussing Brexit statistics regarding younger people. Next would be interviews
with young protestors or people around and asking them about what they think
about Brexit and how they feel now that a second referendum has been backed. We
would then finish up the package with the presenter concluding and signing off.
We had a few other things we wanted to add in however because of time
constraints we had to change it up.
The day was absolutely perfect for creating a VT package, the sun was
shining and there were quite a few protestors around as well as we were there
when Theresa may enter the house of commons.
The filming went rather well as we knew exactly what we wanted to do so we
were just trying to get it done. However, we did struggle with finding younger
people, because what we didn’t really consider was that everyone would be at
collage/university. Thus, none of the protestors were young enough to use for
our package but we managed to find some younger people about.
I think that out video turned out really good, it was edited really well and
we managed to get quite a lot of information in the short time we had.
Later on in the day, we moved onto doing our audio files with Michael. I decided to do a walk around podcast, meaning that what I had to do was simply explain where I am and what is going on around me. I stood directly in front of the houses of parliament, where all the protestors and police were. It took me over 10 tries until I got a recording. that I was happy with.
At the end of the day we stayed around the houses of parliament for a bit to see if Theresa May was coming out and then eventually we were allowed to go home/stay/choose what we wanted to do.
This week I was not present for the morning session with Micheal as I was helping a friend out at the hospital. However after reviewing the presentation on Moodle , I saw that they discussed ‘Finding data sets’. They started off with going over the homework and then later on went over examples of finding data sets in sources. They ended the session by going over next weeks homework.
For the afternoon session we had another Excel lesson, where we went through the rest of the examples that we did in the previous lesson. We went over one called ‘Box and Whisker Plot’ which I found particularly interesting as I had to hand draw these quite often when studying in IB. Moving on, we used real data sets from the police about different types of crimes in many areas around the United Kingdom. We learnt how to gather the main data we would need for whatever we would be doing, from the data provided as well as how to make graphs from this data. Being shown which graph would be the best to use in this scenario.
For the first session with Rebecca, we discussed the homework from the previous class. Each VT group presented our VT’s on student life to the class. We were provided with feedback from both Rebecca and the class, enabling us to make improvements in the future.
We moved onto the second part of the homework where we analysed a news channel of choice. could choose between BBC news, Channel 5 and Channel 4 news. We were given a form to fill in which had a few different questions. We had to write about the story line of the entire show. We had to talk the audio and visual elements of a specific VT. We also had to mention which filming sequences and interviews would have been planned prior to planning. Lastly, we had to discuss how much background information they provided on each story.
The entire class choose the BBC news so we all took part, I gave a lot of input about the story-line and explained what type of information they provided for each story.
The class was then split into our VT groups, done in order for us to start preparing for our VT’s that we will be making regarding Brexit. On the 26th of February, we will be going to Westminster to view a protest on Brexit. Only me and one other member of my group were present, so we started off by using SiSo to book out the equipment for the day. We also discussed the different types of angles we could take and what type of roles everyone could do.
To finish up the lesson, Rebecca gave us an assignment again in order to prepare for next week. In order to practice out PTC’s, we were given the following two complex sentences;
“Record numbers of students from China and Hong Kong are applying for places at British universities, according to official figures.”
Data from the Universities and Colleges Admissions Service (Ucas) shows a spike in demand for undergraduate places from mainland China and a small rise in applications from the EU, despite fears over Brexit.”
My team mate and I both practiced doing the piece to camera as well as filming.
In the morning session with Micheal, we started by going over the homework, as we always do. We had to write a story on a discussion between Sarah O’Connor and Tim Harford. Talking abut what they discussed, whether we agreed with what was said and if there were any reservations. As well as using this to consider how we approach statistical claims and where they could have misled us. We then had to use this knowledge to analyse a current story.
A few students discussed what they had talked about. Me not being confident when it comes to statistics, decided to stay quite.
After going over the homework, we moved onto business data. We talked about stock exchange and FTSE, currencies. Looking at some real statistics and using excel to create an infographic. Where we could view how things have changed and increased/decreased.
Next we focused on finding data stories, where we were shown a few interesting websites. An example being as ‘Strava’ which is a massive heat-map. Shown below. Micheal also showed stories from BBC news and explained how they could be made into data stories.
We finished the morning session off by doing an exercise. We had to find three different articles on BBC news. Talking about how we can develop the story using data sets.
For the afternoon session we had an excel workshop. We went over all the basics such as percentages and addition. We were given a few data sets and shown how to make infographics. Shown what the best one is to use for certain data sets. Having never been very good with excel, this was a really helpful class. It is always good to know the basics.
We had the morning session with Rebecca, we started off by looking at different VT packages. It helped us compare different packages and learn what the best VT packages include. An example of a VT package was one on the start of London night tubes. We also went through a long list of vocabulary, such as filming sequence, cutaways, vox pops and piece to camera. The last thing we went over are the roles and responsibilities of making a VT package.
We were then split into our VT package groups, where we were instructed to create a short VT about student life. We had to stay within the university and take around 10 shots each. My group decided to focus on student/young adult smoking. Thus we walked around filming students smoking (checking for their permission). As well as filming university signs, signs saying ‘no smoking’, the smoking area and CTV cameras.
In the afternoon session we had Micheal, where we focus on radio rather than video. We were looking at many different sources and were introduced into different sites that can help us out in the future. We were shown ‘PA’ which is a form of news archives, ‘BoB’ which is a form of website that has TV on demand. Lastly, we were shown ‘IRN’ which is another news source. We were shown how to use the website and how they would come in handy for us.
We ended the session by going over something we discussed a lot the first semester, which is in bias in journalism and how we can minimise it.
Today we started off the lesson by discussing the homework, which was comparing infographics on the state of the union speeches. We discussed most of the graphs that were provided in the presentation. A few people gave their views and which ones they had compared and what they managed to extrapolate from it.
This week I didn’t discuss what I had wrote about but I spoke about an infographic which was displayed a list of words and how much each president had used these words, which was given in a colour coordinated infographic. Green showing the word being used often and red showing that the word wasn’t used at all. I then talked about an infographic which looked at the frequency of a series of different words, these were grouped into 7 different topics, therefore showing the difference between term frequency of different presidents in their speeches. The last one I discussed was an infographic that displays words presidents have said that no other presidents have used, this infographic is in lists and thus is very different from the other two that I talked about.
Continuing with a presentation about ‘visualizing data’, we learnt about data terminology such as data point, which is one piece of data and aggregated data which is grouped or combined from several measurements.
This is when we moved onto the math part of data journalism – YAY… We discussed how to calculate the average, mean, median and mode of datasets. This was followed up by doing a few exercises to practice. We also compared what percent and percentage point is.
We went over a few examples of how fake data can be posted
and how data can be posted and perceived in a whole different way if it isn’t displayed
correctly. Something interesting that we were shown, is a more creative way of
creating infographic, such as how Mona Chalabi from the Guardian creates her infographics.
Using a more ‘self-created’ infographics with drawings.
Starting off after the break, we went over the homework which was about two podcasts that we had to listen to. The first one was ‘Mona Chalabi: How can we tell the good statistics from the bad ones?’ and ‘Alan Smith: Why do we trust intuition over even the most reliable numbers?’. A few students discussed their opinions on the podcasts. I shared one of my thoughts which was Mona talking about a survey that the US did on how many people support Jihad, it turned out as a high percentage however Mona was saying when approaching this information, she would look at the specifics such as questions and definitions. She came to see that in this survey there were two completely different definitions of jihad, one about the violence and one more leaning towards peaceful religion, which the majority defined it as. This changes the entire perspective on the situation.
Every table was handed out a number of infographics and we had to choose two of them to talk about. Discussing whether we would know what it is about without the title, we had to talk about how it looks, why certain things have been used and placed where they have been placed. Also discussing the statistics and where they are from. The first infographic we talked about is about ‘Drinking culture in Italy’ and the second infographic is ‘People in the UK spend more time communicating than sleeping’.
We started off our introduction to broadcast journalism by being introduced to the iPod kits. Sam gave us a mini ‘tutorial’ on on what was in the kit and how we can use them appropriately.
He started off with the iPod touch itself, informing us what the code for the iPod is. As well as which are the main apps we will be using.
Moving onto the microphones, there are three different types. They all connect to the apps that we were shown previously. The first being the standard microphone. This came with an additional wire and plug that connects the microphone to the iPod. Next up was the wind-protecting microphone. This is mainly used for close range and is fluffy in order to cancel out the sound of the wind. The last microphone was the clip on microphone, which would be very appropriate for presenters. As well as if the speaker has to do anything practical as they don’t have to hold anything.
After going over all the equipment, we were put into our VT package groups and were given a short assignment. We had to walk around the London Road building and find people to interview about university. Done in order to practice using each of the microphones, my group used all three which was great practice.
For the short assignment, I used the regular microphone to interview a previous LSBU student. Matt interviewed a current LSBU student and Craig spoke about his personal university experience. Alessia did all the filming and recording. Pictures shown above.
When we got back we ended the class by going through ‘SiSo’ which is where we can book out the kit and other equipment. Sam gave us another quick tutorial, showing us how to find what we need and how to fill out the risk assessment form.
Today we started off the lesson by going over the homework that we had to do, which was writing about what stories we can extract from certain databases. We had quite a few examples, the ones we went over in class were the following: are MPs expenses, Wikileaks war diaries, Gapminder comparing income to life expectancy in different countries, and the one that I wrote about which was a scene by scene comparison of Hollywood films to their true-life events.
When talking about the one I wrote about, I discussed how I compared
the site to fake news and how the data can help journalists stray away from it
as well as how it can come in handy to journalists writing reviews. It gives
them much more background information. These types of movies are supposed to
teach those about historical events and if the movie is based off completely inaccurate
facts then it gives people a whole different story compared to what really
happened, making their historical knowledge mainly false.
We then moved onto discussing visualising data, we were
given many different examples such as static infographics, standalone charts,
scrolling stories and animation. We were given separate examples for each of
these examples, thus website showing the type of data that was explained.
In relation to this we watched an animated video about the losses of WW2, which used data to comparing all the soldier’s deaths in separate countries as well as a comparison of all the civilian deaths. The use of data in this video gave a different outlook on the war, having already studied it white thoroughly, I knew most of the information however seeing it in bar graphs/ different infographics gave a very broad view. Showing how extreme the circumstances were.
Going more thoroughly into infographics, discussing many different types. I learn that good ones to use for distribution are bubble and heat-maps and that ones I should never use in ranking are dot strip lines and bump. I also learnt that when it comes to spatial infographics, thus the use of maps, you shouldn’t immediately use maps when something is location/geographically based. There should be another reason for using the map such as population or correlation. The image above shows the types of infographics that we looked at, all having their own purposes for certain data.
We took a look at some specific infographics on a website, which were all very interesting, however I took an interest in one in particular which was: ‘Best in Show: The Ultimate Data Dog’. Shown above. This compared all different dogs based on intelligence, costs, longevity, grooming, aliments and appetite. This was shown with the dogs facing different ways and the size and colour of the dogs. Although this was interesting to me because of my obsession for dogs (as well as making me sad for all the doggies that were ranked so low, they should all be in the ‘hot dogs’ section, in my opinion) the graph itself wasn’t that good, it was hard to understand, a bit messy.
We ended the day by creating our very own infographic, we could choose any one we liked from the table that we looked at (which I displayed earlier). We had to make it about anything in our lives that we though fit. In the end, I decided to make a pie chart about my weekly spending. Having always kept a record of the money I spend every week (as my money comes in weekly), which is split it into different categories, this was rather easy. I took the first week of September and used that as my guide. I came up with what is shown above.
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